標題: Traffic monitoring based on real-time image tracking
作者: Lin, CP
Tai, JC
Song, KT
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2003
摘要: This paper presents a study on a stand-alone image tracking system for automatic traffic monitoring. The proposed image tracker consists of three parts: an edge detection module, an image tracking module and a traffic monitoring module. The edge-detection module is a special designed circuit board, which features fast CCD image processing and feature extraction. Frame rate (60Hz) edge detection of an image with resolution of 320 X 240 pixels is obtained on-board. The image tracking module performs the vehicle tracking in real time. Adopting active contour models and Kalman filtering techniques, we successfully achieved real-time image tracking of multi-lane moving vehicles. The traffic-monitoring module determines the traffic information from the tracked locations of vehicles. The current system provides three types of traffic information: the velocity of multi-lane vehicles, the number of vehicles and car accident detection. Experimental results are presented to demonstrate the real-time tracking of vehicles on an urban artery.
URI: http://hdl.handle.net/11536/18522
ISBN: 0-7803-7736-2
ISSN: 1050-4729
期刊: 2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS
起始頁: 2091
結束頁: 2096
顯示於類別:會議論文