A Real-Time Multiple-Vehicle Detection and Tracking System with Prior Occlusion Detection and Resolution by Lane Information and Queue Features

• Main Authors: Yuan-Hsin Chen, 陳元馨
• Other Authors: Bing-Fei Wu
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/55981168157993663054

碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === A multiple-vehicle detection and tracking (MVDT) system with prior occlusion detection and resolution by lane information and queue features has various applications – tracking and classifying vehicles, determining traffic parameters, moreover, detecting violations of vehicles. The characteristics of MVDT system are real-time operation, robustness, precision, and ease of setup which are all important consideration for a vehicle detector. In this study, the proposed tracking reasoning is applied to track vehicles after the dynamic segmentation firstly. Next, some functional methods, such as lane-based run-length shadow suppression and prior lane-based occlusion detection and resolution, are proposed to enhance the accuracy of the tracking processing. Then, the edge-based queue detection and resolution is exploited to keep tracking trajectories when vehicles are waiting at the traffic lights or at traffic jam. Furthermore, tracking trajectories and the lane mask are applied to derive the values of traffic parameters and the direction of vehicle movement. Finally, for ease of setup, the adaptation of the system parameters is proposed.