Application of improved you only look once model in road traffic monitoring system (original) (raw)

An Efficient Yolov7 and Deep Sort are Used in a Deep Learning Model for Tracking Vehicle and Detection

Pritaj Yadav, Dr. Vinod Kumar Yadav

Journal of Xi’an Shiyou University, Natural Science Edition, 2022

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An Efficient Road Surveillance Approach to Detect, Recognize & Tracking Vehicles Using Deep Learning Methods

International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021

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An Efficient Deep Learning Methods for Track & Detect Vehicles from Road Surveillance Video

Dr. Vinod Kumar Yadav

METSZET JOURNAL, 2022

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Vigilance: Vehicle Detector and Tracker

IRJET Journal

IRJET, 2022

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A Robust Framework for Object Detection in a Traffic Surveillance System

Faisal Shafique Butt

Electronics

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IJERT-Real Time Road Surveillance and Vehicle Detection using Deep Learning

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2020

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AIC2018 Report: Traffic Surveillance Research

VINAY KALE

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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A Comparitive Study of Convolutional Neural Network Models for Detection, Classification and Counting of Vehicles in Traffic

Azizi Abdullah

2020

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Customized Deep Learning Technique for Vehicle Detection along with Speed Estimation

Dr. Sagar D Pande, Grenze International Journal of Engineering and Technology GIJET

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A COMPUTER VISION FRAME WORK FOR TRACKING & DETECT VEHICLES FROM ROAD SURVEILLANCE VIDEO

Dr. Vinod Kumar Yadav

GIS SCIENCE JOURNAL, 2023

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Deep Learning based Vehicle Detection and Tracking Techniques: State-of- the-Art Survey

Journal of Computer Science IJCSIS

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Vehicle Tracking Using Video Surveillance

Thor Lonelynite

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A Novel Vehicle Classification Model for Urban Traffic Surveillance Using the Deep Neural Network Model

dapinder kaur

International Journal of Education and Management Engineering, 2016

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OBJECT DETECTION IN TRAFFIC SCENARIOS -A COMPARISON OF TRADITIONAL AND DEEP LEARNING APPROACHES

Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)

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To Identify and Recognize the Object for Traffic Analysis System using Deep Learning

Sakshi sinha

International Journal of Innovative Technology and Exploring Engineering, 2019

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Automated Recognition and Tracking of Stationary and Moving Cars in Images and Videos: YOLOv5 and SSD Analysis

V LOKESWARA REDDY

Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024

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An Embedded Computer-Vision System for Multi-Object Detection in Traffic Surveillance

Najoua Essoukri Ben Amara

IEEE Transactions on Intelligent Transportation Systems, 2018

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Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images

Nilani Algiriyage, Kristin Stock

ISCRAM, 2020

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Deep Learning and YOLOv3 Systems for Automatic Traffic Data Measurement by Moving Car Observer Technique

Marco Guerrieri

Infrastructures

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A Fast and Accurate Real-Time Vehicle Detection Method Using Deep Learning for Unconstrained Environments

Uzair Khan

Applied Sciences

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Robust and Scalable Real-Time Vehicle Classification and Tracking: A Case Study of Thailand

Bipul Neupane

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

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A review of object detection approaches for traffic surveillance systems

International Journal of Electrical and Computer Engineering (IJECE)

International Journal of Electrical and Computer Engineering (IJECE), 2024

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Large Scale Traffic Surveillance :Vehicle Detection and Classification Using Cascade Classifier and Convolutional Neural Network

Shaif Chowdhury

2017

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Vehicle Tracking and Speed Estimation from Traffic Videos

manika kapoor

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018

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Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage

Nilani Algiriyage

ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management, 2021

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Comparative Analysis of Deep Learning Models for Vehicle Detection

Rendi Nurcahyo

Journal of Systems Engineering and Information Technology (JOSEIT), 2022

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Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm

Elmustafa S A Y E D Ali, OTHMAN O KHALIFA

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Vehicle Counting using Deep Learning Models: A Comparative Study

Azizi Abdullah

International Journal of Advanced Computer Science and Applications, 2020

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VEHICLE DETECTION AND COUNTING UNDER MIXED TRAFFIC CONDITIONS IN VIETNAM USING YOLOV4

IAEME Publication

IAEME PUBLICATION, 2021

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Traffic Participants Detection and Classification Using YOLO Neural Network

Most. Fahmida sultana Mim

Zenodo (CERN European Organization for Nuclear Research), 2022

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