Mandalapu Sarada Devi - Academia.edu (original) (raw)

Papers by Mandalapu Sarada Devi

Arhiv za tehničke nauke, Jun 1, 2023

Vehicle classification is a crucial task owing to vehicles' diverse and intricate feature... more Vehicle classification is a crucial task owing to vehicles' diverse and intricate features, such as edges, colors, shadows, corners, and textures. The accurate classification of vehicles enables their detection and identification on roads and facilitates the development of an electronic tollcollection system for smart cities. Furthermore, vehicle classification is useful for traffic signal control strategy. However, achieving accurate vehicle classification poses significant challenges due to the limited processing time for real-time applications, image resolution, illumination variations in the video, and other interferences. This study proposes a method for automated automobile detection, recognition, and classification using statistics derived from approximately 11,000 images. We employ SURF-based detection and different classifiers to categorize vehicles into three groups. The Traffic Management System (TMS) is crucial for studying mobility and smart cities. Our study achieves a high automobile classification rate of 91% with the medium Gaussian Support Vector Machine (SVM) classifier. The paper's main objective is to analyze five object classifiers for vehicle recognition: Decision Tree, Discriminant Analysis, SVM, K-Nearest Neighbor Classifier (KNN), and Ensemble Classifier. In the discussion section, we present the limitations of our work and provide insights into future research directions.

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017

Finding parking availability for a specific time period is a very tedious job in urban areas. The... more Finding parking availability for a specific time period is a very tedious job in urban areas. The Indian government now focusing on the smart city project, already they published city name for an upcoming smart city project. In smart city application, intelligent transportation system (ITS) plays an important role- in that finding parking place, specifically for the car owner to avoid time computation, as well as congestion in traffic is going to be very important. In this article, we propose an intelligent car parking system for the smart city using Circle Hough Transform (CHT).

2018 3rd International Conference for Convergence in Technology (I2CT), 2018

Currently, smart city project is running in INDIA for urban development. Under this project, inte... more Currently, smart city project is running in INDIA for urban development. Under this project, intelligent transportation system (ITS) is the very significant step towards achieving the goal of reducing traffic congestion as well as different traffic monitoring applications, like - parking management, emergency vehicle detection, car speed detection, accidents detection, car counting etc. To achieve intelligent transportation system's goal for traffic monitoring, Image and video processing becomes a significant tool. In this article focus on vehicle counting, or say car counting for available online video (YouTube) using - Frame difference, Edge detection, Euclidean distance methods, Morphology, adaptive thresholding and effective prediction of center position with addition of calculation of change in positions, delta positions and Gaussian blur. To differentiate car as an object with another object, we consider here particular size for car objects or say four-wheelers objects, wh...

Searching for the parking space is a time-consuming task while visiting for shopping or unknown c... more Searching for the parking space is a time-consuming task while visiting for shopping or unknown cities. Real-time parking management gets benefited for the development of the smart city and also reduces time for finding the parking place. In this chapter, different two types of modules for car parking are simulated using a combination of Hough transform, edge detection, and color enhancement method. Different car parking modules are circular shape-based: (i) parallel parking with a different radius and (ii) angle parking with the same radius. Real-time video is captured using an android smartphone with an IP camera. The proposed research work can enhance the solution for real-time parking solution in big malls and theater. Limitation and future scope of this will give motivation toward research work on an intelligent transportation system (ITS) development in India. For small-scale version here, we have used toy cars and bus with a different color for parking modules.

Transport and Telecommunication Journal, 2021

In India, traffic control management is a difficult task due to an increment in the number of veh... more In India, traffic control management is a difficult task due to an increment in the number of vehicles for the same infrastructure and systems. In the smart-city project, the Adaptive Traffic Light Control System (ATLCS) is one of the major research concerns for an Intelligent Transportation System (ITS) development to reduce traffic congestion and accidents, create a healthy environment, etc. Here, we have proposed a Vehicular Density Value (VDV) based adaptive traffic light control system method for 4-way intersection points using a selection of rotation, area of interest, and Statistical Block Matching Approach (SBMA). Graphical User Interface (GUI) and Hardware-based results are shown in the result section. We have compared, the normal traffic light control system with the proposed adaptive traffic light control system in the results section. The same results are verified using a hardware (raspberry-pi) device with different sizes, colors, and shapes of vehicles using the same m...

In today scenario city will try to modify in the form of smart city with better facilities in ter... more In today scenario city will try to modify in the form of smart city with better facilities in terms of education, social-economic life, better transportation availability, noise free – Eco-friendly environment availability, and ICTInformation and communication technology enabler for development in the city. In this paper, we are reviewing different work already done or draft by some research in the field of traffic control system – for better monitoring, tracking and managing using a computer vision system. Nowadays, most of the city installed with C.C.T.V. – camera for monitoring the traffic related activity. Keywords— Transportation Management System (TMS), CCTV camera, Gaussian mixture model, Video, Image processing, smart city, parking system, smart phone, Vehicle Tracking

Journal of Industrial Information Integration

In recent trends, digital information to the industrial integration for the intelligent transport... more In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS) field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for vehicle detection is flexible according to vehicles' sizes on the road. We test this system with different colors and dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare the proposed system with the inter-frame difference method and the blob analysis method with recall, precision, and F1 performance parameters.

Scientific Journal of Silesian University of Technology. Series Transport

We present vehicle detection classification using the Convolution Neural Network (CNN) of the dee... more We present vehicle detection classification using the Convolution Neural Network (CNN) of the deep learning approach. The automatic vehicle classification for traffic surveillance video systems is challenging for the Intelligent Transportation System (ITS) to build a smart city. In this article, three different vehicles: bike, car and truck classification are considered for around 3,000 bikes, 6,000 cars, and 2,000 images of trucks. CNN can automatically absorb and extract different vehicle dataset’s different features without a manual selection of features. The accuracy of CNN is measured in terms of the confidence values of the detected object. The highest confidence value is about 0.99 in the case of the bike category vehicle classification. The automatic vehicle classification supports building an electronic toll collection system and identifying emergency vehicles in the traffic.

Scientific Journal of Silesian University of Technology. Series Transport

Real-time traffic monitoring and parking are very important aspects for a better social and econo... more Real-time traffic monitoring and parking are very important aspects for a better social and economic system. Python-based Intelligent Parking Management System (IPMS) module using a USB camera and a canny edge detection method was developed. The current situation of real-time parking slot was simultaneously checked, both online and via a mobile application, with a message of Parking "Available" or "Not available" for 10 parking slots. In addition, at the time entering in parking module, gate open and at the time of exit parking module, the gate closes automatically using servomotor and sensors. Results are displayed in figures with the proposed method flow chart.

Scientific Journal of Silesian University of Technology. Series Transport, 2020

Real-time traffic monitoring and parking are very important aspects for the better social and eco... more Real-time traffic monitoring and parking are very important aspects for the better social and economic system. Python-based Intelligent Parking Management System (IPMS) module using a USB camera and a canny edge detection method is developed. What is the current situation of real-time parking slot is checked online! and same time using mobile application with a message of Parking “Available” or “Not available” for 10 parking slots. In addition to that, at the time entering in parking module, gate open and at the time of exit parking module, the gate closes automatically using servomotor and sensors. Results are displayed in figures with the proposed method flow chart.

2008 First International Conference on Emerging Trends in Engineering and Technology, Jul 16, 2008

Abstract—Driver fatigue is among the most common causes of serious road accidents around the worl... more Abstract—Driver fatigue is among the most common causes of serious road accidents around the world. This is particularly evident in the transportation industry, where a driver of a heavy vehicle is often exposed to hours of monotonous driving which can result in fatigue ...

2010 Ieee International Conference on Systems Man and Cybernetics, 2010

... Mandalapu Sarada Devi Research Associate BDCollege of Engineering, Sevagram, Wardha, India ms... more ... Mandalapu Sarada Devi Research Associate BDCollege of Engineering, Sevagram, Wardha, India msaradadevi@rediffinail.com ... Dr Preeti R Bajaj Professor, Electronics Dept GHRaisoni College of Engineering Nagpur, India preetibajaj@ieee.org ...

Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011

Human face detection is concerned with finding location and size of every human face in a given i... more Human face detection is concerned with finding location and size of every human face in a given image. Locating skin pixels in images or video sequences where people appear has many applications, especially those related to Human-Computer Interaction. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression recognition. There are many techniques used in face detection, each one has its advantages and disadvantages. An algorithm is proposed to improve the performance of face detection and eye detection using skin color model under poor illumination condition. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. After detecting the face region, the Hough transform is used in order to detect the facial feature i. e. eye, specially circular Hough transform is used in order to detect the circular object in the image.

2012 Nirma University International Conference on Engineering (NUiCONE), 2012

ABSTRACT There is no exact solution for colorization of grayscale images. In the initial work don... more ABSTRACT There is no exact solution for colorization of grayscale images. In the initial work done [1], color traits transfer techniques to color grayscale images are proposed. The main focus of the techniques [1] is to minimize the human efforts needed in manually coloring the grayscale images. The human interaction is needed only to find a reference color image, then the job of transferring color traits from reference color image to grayscale image is done by proposed techniques. This paper is an extension to [14].

International Conference on Emerging Trends in Engineering & Technology, 2011

The fatigue state of the driver is one of the important factors that cause traffic accidents. Vis... more The fatigue state of the driver is one of the important factors that cause traffic accidents. Vision based facial expression recognization technique is the most prospective method to detect driver fatigue. Therefore, a system that can detect oncoming driver drowsiness and issue timely warning could help in preventing many accidents and consequently save money and reduce personal suffering. By mounting

2011 Fourth International Conference on Emerging Trends in Engineering & Technology, 2011

... [5] M.Sarada Devi, Dr.Preeti Bajaj “Driver Fatigue Detection Using Mouth and Yawning Analysis... more ... [5] M.Sarada Devi, Dr.Preeti Bajaj “Driver Fatigue Detection Using Mouth and Yawning Analysis” IJCSNS ... [11] M.Sarada Devi, Dr.Preeti Bajaj “Driver Fatigue Detection Based on Eye Tracking” International Conference on Emerging Trends in Engineering and Technology, 2008. ...

2008 First International Conference on Emerging Trends in Engineering and Technology, 2008

Abstract—Driver fatigue is among the most common causes of serious road accidents around the worl... more Abstract—Driver fatigue is among the most common causes of serious road accidents around the world. This is particularly evident in the transportation industry, where a driver of a heavy vehicle is often exposed to hours of monotonous driving which can result in fatigue ...

Emerging Trends in Engineering and …, 2010

Page 1. Active Facial Tracking Mandalapu Sarada Devi Research Associate BD College of Engineering... more Page 1. Active Facial Tracking Mandalapu Sarada Devi Research Associate BD College of Engineering Sevagram, India msaradadevi@rediffmail.com Dr Preeti R Bajaj Professor, Electronics Dept GH Raisoni College of Engineering Nagpur, India preetibajaj@ieee.org ...

Human face detection is concerned with finding location and size of every human face in a given i... more Human face detection is concerned with finding location and size of every human face in a given image. Locating skin pixels in images or video sequences where people appear has many applications, especially those related to Human-Computer Interaction. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression recognition. There are many techniques used in face detection, each one has its advantages and disadvantages. An algorithm is proposed to improve the performance of face detection and eye detection using skin color model under poor illumination condition. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. After detecting the face region, the Hough transform is used in order to detect the facial feature i. e. eye, specially circular Hough transform is used in order to detect the...

IEEE International Conference on Systems, Man, and Cybernetics, 2010

International statistics shows that large numbers of road accidents are caused due to driver fati... more International statistics shows that large numbers of road accidents are caused due to driver fatigue. In this paper the authors tried to detect the fatigue of a person who is working under some stressful conditions like Driving. The principle of the proposed system is based on the facial image analysis for warning the driver of fatigue to prevent traffic accidents.

Arhiv za tehničke nauke, Jun 1, 2023

Vehicle classification is a crucial task owing to vehicles' diverse and intricate feature... more Vehicle classification is a crucial task owing to vehicles' diverse and intricate features, such as edges, colors, shadows, corners, and textures. The accurate classification of vehicles enables their detection and identification on roads and facilitates the development of an electronic tollcollection system for smart cities. Furthermore, vehicle classification is useful for traffic signal control strategy. However, achieving accurate vehicle classification poses significant challenges due to the limited processing time for real-time applications, image resolution, illumination variations in the video, and other interferences. This study proposes a method for automated automobile detection, recognition, and classification using statistics derived from approximately 11,000 images. We employ SURF-based detection and different classifiers to categorize vehicles into three groups. The Traffic Management System (TMS) is crucial for studying mobility and smart cities. Our study achieves a high automobile classification rate of 91% with the medium Gaussian Support Vector Machine (SVM) classifier. The paper's main objective is to analyze five object classifiers for vehicle recognition: Decision Tree, Discriminant Analysis, SVM, K-Nearest Neighbor Classifier (KNN), and Ensemble Classifier. In the discussion section, we present the limitations of our work and provide insights into future research directions.

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017

Finding parking availability for a specific time period is a very tedious job in urban areas. The... more Finding parking availability for a specific time period is a very tedious job in urban areas. The Indian government now focusing on the smart city project, already they published city name for an upcoming smart city project. In smart city application, intelligent transportation system (ITS) plays an important role- in that finding parking place, specifically for the car owner to avoid time computation, as well as congestion in traffic is going to be very important. In this article, we propose an intelligent car parking system for the smart city using Circle Hough Transform (CHT).

2018 3rd International Conference for Convergence in Technology (I2CT), 2018

Currently, smart city project is running in INDIA for urban development. Under this project, inte... more Currently, smart city project is running in INDIA for urban development. Under this project, intelligent transportation system (ITS) is the very significant step towards achieving the goal of reducing traffic congestion as well as different traffic monitoring applications, like - parking management, emergency vehicle detection, car speed detection, accidents detection, car counting etc. To achieve intelligent transportation system's goal for traffic monitoring, Image and video processing becomes a significant tool. In this article focus on vehicle counting, or say car counting for available online video (YouTube) using - Frame difference, Edge detection, Euclidean distance methods, Morphology, adaptive thresholding and effective prediction of center position with addition of calculation of change in positions, delta positions and Gaussian blur. To differentiate car as an object with another object, we consider here particular size for car objects or say four-wheelers objects, wh...

Searching for the parking space is a time-consuming task while visiting for shopping or unknown c... more Searching for the parking space is a time-consuming task while visiting for shopping or unknown cities. Real-time parking management gets benefited for the development of the smart city and also reduces time for finding the parking place. In this chapter, different two types of modules for car parking are simulated using a combination of Hough transform, edge detection, and color enhancement method. Different car parking modules are circular shape-based: (i) parallel parking with a different radius and (ii) angle parking with the same radius. Real-time video is captured using an android smartphone with an IP camera. The proposed research work can enhance the solution for real-time parking solution in big malls and theater. Limitation and future scope of this will give motivation toward research work on an intelligent transportation system (ITS) development in India. For small-scale version here, we have used toy cars and bus with a different color for parking modules.

Transport and Telecommunication Journal, 2021

In India, traffic control management is a difficult task due to an increment in the number of veh... more In India, traffic control management is a difficult task due to an increment in the number of vehicles for the same infrastructure and systems. In the smart-city project, the Adaptive Traffic Light Control System (ATLCS) is one of the major research concerns for an Intelligent Transportation System (ITS) development to reduce traffic congestion and accidents, create a healthy environment, etc. Here, we have proposed a Vehicular Density Value (VDV) based adaptive traffic light control system method for 4-way intersection points using a selection of rotation, area of interest, and Statistical Block Matching Approach (SBMA). Graphical User Interface (GUI) and Hardware-based results are shown in the result section. We have compared, the normal traffic light control system with the proposed adaptive traffic light control system in the results section. The same results are verified using a hardware (raspberry-pi) device with different sizes, colors, and shapes of vehicles using the same m...

In today scenario city will try to modify in the form of smart city with better facilities in ter... more In today scenario city will try to modify in the form of smart city with better facilities in terms of education, social-economic life, better transportation availability, noise free – Eco-friendly environment availability, and ICTInformation and communication technology enabler for development in the city. In this paper, we are reviewing different work already done or draft by some research in the field of traffic control system – for better monitoring, tracking and managing using a computer vision system. Nowadays, most of the city installed with C.C.T.V. – camera for monitoring the traffic related activity. Keywords— Transportation Management System (TMS), CCTV camera, Gaussian mixture model, Video, Image processing, smart city, parking system, smart phone, Vehicle Tracking

Journal of Industrial Information Integration

In recent trends, digital information to the industrial integration for the intelligent transport... more In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS) field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for vehicle detection is flexible according to vehicles' sizes on the road. We test this system with different colors and dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare the proposed system with the inter-frame difference method and the blob analysis method with recall, precision, and F1 performance parameters.

Scientific Journal of Silesian University of Technology. Series Transport

We present vehicle detection classification using the Convolution Neural Network (CNN) of the dee... more We present vehicle detection classification using the Convolution Neural Network (CNN) of the deep learning approach. The automatic vehicle classification for traffic surveillance video systems is challenging for the Intelligent Transportation System (ITS) to build a smart city. In this article, three different vehicles: bike, car and truck classification are considered for around 3,000 bikes, 6,000 cars, and 2,000 images of trucks. CNN can automatically absorb and extract different vehicle dataset’s different features without a manual selection of features. The accuracy of CNN is measured in terms of the confidence values of the detected object. The highest confidence value is about 0.99 in the case of the bike category vehicle classification. The automatic vehicle classification supports building an electronic toll collection system and identifying emergency vehicles in the traffic.

Scientific Journal of Silesian University of Technology. Series Transport

Real-time traffic monitoring and parking are very important aspects for a better social and econo... more Real-time traffic monitoring and parking are very important aspects for a better social and economic system. Python-based Intelligent Parking Management System (IPMS) module using a USB camera and a canny edge detection method was developed. The current situation of real-time parking slot was simultaneously checked, both online and via a mobile application, with a message of Parking "Available" or "Not available" for 10 parking slots. In addition, at the time entering in parking module, gate open and at the time of exit parking module, the gate closes automatically using servomotor and sensors. Results are displayed in figures with the proposed method flow chart.

Scientific Journal of Silesian University of Technology. Series Transport, 2020

Real-time traffic monitoring and parking are very important aspects for the better social and eco... more Real-time traffic monitoring and parking are very important aspects for the better social and economic system. Python-based Intelligent Parking Management System (IPMS) module using a USB camera and a canny edge detection method is developed. What is the current situation of real-time parking slot is checked online! and same time using mobile application with a message of Parking “Available” or “Not available” for 10 parking slots. In addition to that, at the time entering in parking module, gate open and at the time of exit parking module, the gate closes automatically using servomotor and sensors. Results are displayed in figures with the proposed method flow chart.

2008 First International Conference on Emerging Trends in Engineering and Technology, Jul 16, 2008

Abstract—Driver fatigue is among the most common causes of serious road accidents around the worl... more Abstract—Driver fatigue is among the most common causes of serious road accidents around the world. This is particularly evident in the transportation industry, where a driver of a heavy vehicle is often exposed to hours of monotonous driving which can result in fatigue ...

2010 Ieee International Conference on Systems Man and Cybernetics, 2010

... Mandalapu Sarada Devi Research Associate BDCollege of Engineering, Sevagram, Wardha, India ms... more ... Mandalapu Sarada Devi Research Associate BDCollege of Engineering, Sevagram, Wardha, India msaradadevi@rediffinail.com ... Dr Preeti R Bajaj Professor, Electronics Dept GHRaisoni College of Engineering Nagpur, India preetibajaj@ieee.org ...

Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011

Human face detection is concerned with finding location and size of every human face in a given i... more Human face detection is concerned with finding location and size of every human face in a given image. Locating skin pixels in images or video sequences where people appear has many applications, especially those related to Human-Computer Interaction. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression recognition. There are many techniques used in face detection, each one has its advantages and disadvantages. An algorithm is proposed to improve the performance of face detection and eye detection using skin color model under poor illumination condition. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. After detecting the face region, the Hough transform is used in order to detect the facial feature i. e. eye, specially circular Hough transform is used in order to detect the circular object in the image.

2012 Nirma University International Conference on Engineering (NUiCONE), 2012

ABSTRACT There is no exact solution for colorization of grayscale images. In the initial work don... more ABSTRACT There is no exact solution for colorization of grayscale images. In the initial work done [1], color traits transfer techniques to color grayscale images are proposed. The main focus of the techniques [1] is to minimize the human efforts needed in manually coloring the grayscale images. The human interaction is needed only to find a reference color image, then the job of transferring color traits from reference color image to grayscale image is done by proposed techniques. This paper is an extension to [14].

International Conference on Emerging Trends in Engineering & Technology, 2011

The fatigue state of the driver is one of the important factors that cause traffic accidents. Vis... more The fatigue state of the driver is one of the important factors that cause traffic accidents. Vision based facial expression recognization technique is the most prospective method to detect driver fatigue. Therefore, a system that can detect oncoming driver drowsiness and issue timely warning could help in preventing many accidents and consequently save money and reduce personal suffering. By mounting

2011 Fourth International Conference on Emerging Trends in Engineering & Technology, 2011

... [5] M.Sarada Devi, Dr.Preeti Bajaj “Driver Fatigue Detection Using Mouth and Yawning Analysis... more ... [5] M.Sarada Devi, Dr.Preeti Bajaj “Driver Fatigue Detection Using Mouth and Yawning Analysis” IJCSNS ... [11] M.Sarada Devi, Dr.Preeti Bajaj “Driver Fatigue Detection Based on Eye Tracking” International Conference on Emerging Trends in Engineering and Technology, 2008. ...

2008 First International Conference on Emerging Trends in Engineering and Technology, 2008

Abstract—Driver fatigue is among the most common causes of serious road accidents around the worl... more Abstract—Driver fatigue is among the most common causes of serious road accidents around the world. This is particularly evident in the transportation industry, where a driver of a heavy vehicle is often exposed to hours of monotonous driving which can result in fatigue ...

Emerging Trends in Engineering and …, 2010

Page 1. Active Facial Tracking Mandalapu Sarada Devi Research Associate BD College of Engineering... more Page 1. Active Facial Tracking Mandalapu Sarada Devi Research Associate BD College of Engineering Sevagram, India msaradadevi@rediffmail.com Dr Preeti R Bajaj Professor, Electronics Dept GH Raisoni College of Engineering Nagpur, India preetibajaj@ieee.org ...

Human face detection is concerned with finding location and size of every human face in a given i... more Human face detection is concerned with finding location and size of every human face in a given image. Locating skin pixels in images or video sequences where people appear has many applications, especially those related to Human-Computer Interaction. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression recognition. There are many techniques used in face detection, each one has its advantages and disadvantages. An algorithm is proposed to improve the performance of face detection and eye detection using skin color model under poor illumination condition. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. After detecting the face region, the Hough transform is used in order to detect the facial feature i. e. eye, specially circular Hough transform is used in order to detect the...

IEEE International Conference on Systems, Man, and Cybernetics, 2010

International statistics shows that large numbers of road accidents are caused due to driver fati... more International statistics shows that large numbers of road accidents are caused due to driver fatigue. In this paper the authors tried to detect the fatigue of a person who is working under some stressful conditions like Driving. The principle of the proposed system is based on the facial image analysis for warning the driver of fatigue to prevent traffic accidents.