Tanusree Debi - Academia.edu (original) (raw)
Papers by Tanusree Debi
Online Technology: Effective Contributor to Academic Writing
Advances in Intelligent Systems and Computing, 2021
Advances in Intelligent Systems and Computing, 2021
Intelligent Transportation System and safety driver assistance systems are significant topics of ... more Intelligent Transportation System and safety driver assistance systems are significant topics of research in the field of transport and traffic management. The most challenging of moving vehicle detection, tracking and classification is in the Intelligent Transportation System (ITS) and smart vehicles sector. This paper provides a method for vision based tracking and classify different classes of vehicle by controlling the video surveillance system. Several verification techniques were investigated based on matching templates and classifying images. This paper focused on improving the performance of a single camera vehicle detection, tracking and classification system and proposed a method based on a Histogram of Oriented Gradient (HOG) function that is one of the most discriminatory features to extract the object features and trained for classification and object on the Linear Support Vector Machine (SVM) classifier. Also categorize vehicles on the shape or dimension based feature extraction with cascade based Adaboost classifier which has the high predictive accuracy and the low cost of storage affirm the efficacy for real-time vehicle classification. In the final stage, for minimizing the number of missing vehicles, Kalman Filter was used to track the moving vehicles in video frame. Our proposed system is checked using different videos and provided the best output with appropriate processing time. The experimental results shows the efficiency of the algorithm.
Online Technology: Effective Contributor to Academic Writing
Advances in Intelligent Systems and Computing, 2021
Development of a System for Traffic Data Analysis and Recommendation
Advances in Intelligent Systems and Computing, Oct 27, 2019
Traffic Monitoring System is a traffic analysis program that authorizes the commuter to make bett... more Traffic Monitoring System is a traffic analysis program that authorizes the commuter to make better choices for the everyday commute. This system provides near real-time analysis and display of local traffic information measured by historical data and GPS data along roads and accessed by the user via a web server. There has always been the necessity of accurate and real time traffic information among the commuters and drivers of large cities. In present times, with the increased use and availability of GPS enabled device, a traffic monitoring system based on GPS data is highly practical. Vehicles equipped with a GPS device driving through the traffic of different roads can generate useful information, for example, vehicle geolocation and vehicle information regarding the road. Therefore, we have developed a system using these data, so that it can be sent back to a web service and stored in a database. Later based on this information, a map can be generated that reflects the near real time traffic condition with the vehicle marker of a city at any given time to any user. Traffic intensity and estimate waiting time can be generated also based on the collected information. Our traffic monitoring system based on these principles, requires less physical maintenance, has faster deployment capability and potentially can monitor a large section of the area.
Path and Partner Selection in Unstructured Resource-Constrained Environments Based on Node Psychology in the Context of IoT
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019
Internet of Things (IoT) is the network of the huge number of resource-personated nodes whose mai... more Internet of Things (IoT) is the network of the huge number of resource-personated nodes whose main feature is the reliable communication and fast data exchange among devices in any network topology. In the upcoming world of internet, proper selection of desire or appropriate destination node and finding the optimized path from the huge number of the activated nodes is a very important task. Here many nodes are available in one or more hop distance and each node has various network parameters in the IoT world, so the selection of best path and nodes is quite complex. For this reason, we need to develop an algorithm to find out the best path towards the destination node considering significant network parameters. This paper proposes a general algorithm considering any network topology for discovering the path towards the destination node from the source node and give a solution to the contradiction which may arise if there is more than one consonant path. The proposed algorithm consid...
Online Technology: Effective Contributor to Academic Writing
Advances in Intelligent Systems and Computing, 2021
Advances in Intelligent Systems and Computing, 2021
Intelligent Transportation System and safety driver assistance systems are significant topics of ... more Intelligent Transportation System and safety driver assistance systems are significant topics of research in the field of transport and traffic management. The most challenging of moving vehicle detection, tracking and classification is in the Intelligent Transportation System (ITS) and smart vehicles sector. This paper provides a method for vision based tracking and classify different classes of vehicle by controlling the video surveillance system. Several verification techniques were investigated based on matching templates and classifying images. This paper focused on improving the performance of a single camera vehicle detection, tracking and classification system and proposed a method based on a Histogram of Oriented Gradient (HOG) function that is one of the most discriminatory features to extract the object features and trained for classification and object on the Linear Support Vector Machine (SVM) classifier. Also categorize vehicles on the shape or dimension based feature extraction with cascade based Adaboost classifier which has the high predictive accuracy and the low cost of storage affirm the efficacy for real-time vehicle classification. In the final stage, for minimizing the number of missing vehicles, Kalman Filter was used to track the moving vehicles in video frame. Our proposed system is checked using different videos and provided the best output with appropriate processing time. The experimental results shows the efficiency of the algorithm.
Online Technology: Effective Contributor to Academic Writing
Advances in Intelligent Systems and Computing, 2021
Development of a System for Traffic Data Analysis and Recommendation
Advances in Intelligent Systems and Computing, Oct 27, 2019
Traffic Monitoring System is a traffic analysis program that authorizes the commuter to make bett... more Traffic Monitoring System is a traffic analysis program that authorizes the commuter to make better choices for the everyday commute. This system provides near real-time analysis and display of local traffic information measured by historical data and GPS data along roads and accessed by the user via a web server. There has always been the necessity of accurate and real time traffic information among the commuters and drivers of large cities. In present times, with the increased use and availability of GPS enabled device, a traffic monitoring system based on GPS data is highly practical. Vehicles equipped with a GPS device driving through the traffic of different roads can generate useful information, for example, vehicle geolocation and vehicle information regarding the road. Therefore, we have developed a system using these data, so that it can be sent back to a web service and stored in a database. Later based on this information, a map can be generated that reflects the near real time traffic condition with the vehicle marker of a city at any given time to any user. Traffic intensity and estimate waiting time can be generated also based on the collected information. Our traffic monitoring system based on these principles, requires less physical maintenance, has faster deployment capability and potentially can monitor a large section of the area.
Path and Partner Selection in Unstructured Resource-Constrained Environments Based on Node Psychology in the Context of IoT
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019
Internet of Things (IoT) is the network of the huge number of resource-personated nodes whose mai... more Internet of Things (IoT) is the network of the huge number of resource-personated nodes whose main feature is the reliable communication and fast data exchange among devices in any network topology. In the upcoming world of internet, proper selection of desire or appropriate destination node and finding the optimized path from the huge number of the activated nodes is a very important task. Here many nodes are available in one or more hop distance and each node has various network parameters in the IoT world, so the selection of best path and nodes is quite complex. For this reason, we need to develop an algorithm to find out the best path towards the destination node considering significant network parameters. This paper proposes a general algorithm considering any network topology for discovering the path towards the destination node from the source node and give a solution to the contradiction which may arise if there is more than one consonant path. The proposed algorithm consid...