VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE
VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE
UNIVERSITY OF ENGINEERING AND TECHNOLOGY FACULTY OF INFORMATION AND TECHNOLOYPham Xuan ThanhVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANC VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE CE VIDEOSFINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCEHA NOI - 2022ABSTRACTAbstract: This report mainly tackle rhe challenge of building a smart, traffic surveillance system particularly in Viet Nam by solving the problem of vehicle tracking using surveillance videos. Inspired by popular and efficie VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE nt techniques in the field of computer vision for multiple objects tracking, this report propose a pipeline consists of two main parrs, vehicle trackiVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE
ng and, vehicle classification. The first component responsible for estimating the location of multiple objects throughout every frame. After that, thUNIVERSITY OF ENGINEERING AND TECHNOLOGY FACULTY OF INFORMATION AND TECHNOLOYPham Xuan ThanhVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANC VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE d pipeline is combined with a counting algorithm to solve rhe problem of vehicle counting. This report, also explain in detail how to construct a private dataset that consists of frames extracted from surveillance cameras by using a labeling tool ('ailed UET AILẬB Annotation Tool. And finally, an em VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE pirical results are measured using Multiple Object Hacking Accuracy metric for object tracking task and Accuracy score for object classification taskVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE
which achieved 58% and 73% on average respectively.Keywords: deep learning, multiple objects tracking. object classification, vehicle counting.ContentUNIVERSITY OF ENGINEERING AND TECHNOLOGY FACULTY OF INFORMATION AND TECHNOLOYPham Xuan ThanhVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANC VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE ........................... 11.3Existed problems............................................. 31.4report overview.............................................. 1CHAPTER 2. RELATED WORK52.1Deep learning and Convolutional Neural Networks.............. 52.1.1Development of neural networks and deep lear VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE ning ...... 52.1.2Applications of deep loaming in MOT problem............ 82.2Multiple objects tracking algorithms ........................ 82.3EairMOVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE
T - A baseline for one-shot multiple objects tracking. 102.3.1Limitation of existed MOT methods .................... 102.3.2Network architecture......UNIVERSITY OF ENGINEERING AND TECHNOLOGY FACULTY OF INFORMATION AND TECHNOLOYPham Xuan ThanhVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANC VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE ............................. 15CHPATER 3. THE METHOD163.1Data preparation...................................................... 163.1.1Data collection................................................ 163.1.2Data annotation tool........................................... 183.2Overall pipeline for veh VEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE icle tracking and classification.............. 203.2.1Vehicle tracking model......................................... 213.2.2Vehicle classification moVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCE VIDEOS FINAL REPORT ADVANCED ARTIFICIAL INTELLIGENCE
del .................................. 233.3Vehicle counting algorithm.............................................253.1Chapter summary...............UNIVERSITY OF ENGINEERING AND TECHNOLOGY FACULTY OF INFORMATION AND TECHNOLOYPham Xuan ThanhVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCUNIVERSITY OF ENGINEERING AND TECHNOLOGY FACULTY OF INFORMATION AND TECHNOLOYPham Xuan ThanhVEHICLE TRACKING AND CLASSIFICATION ON TRAFFIC SURVEILLANCGọi ngay
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