Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Robust Vehicle and Traffic Information Extraction for Highway Surveillance | EURASIP Journal on Applied Signal Processing 2005 14 2305-2321 2005 Hindawi Publishing Corporation Robust Vehicle and Traffic Information Extraction for Highway Surveillance Akio Yoneyama Multimedia Communications Lab. KDDI R D Laboratories Inc. 2-1-15 Ohara Saitama 356-8502 Japan Email yoneyama@ Chia-Hung Yeh Department of Electrical Engineering and Integrated Media Systems Center USC Viterbi School of Engineering University of Southern California Los Angeles CA 90089-2564 USA Email chyeh@ . Jay Kuo Department of Electrical Engineering and Integrated Media Systems Center USC Viterbi School of Engineering University of Southern California Los Angeles CA 90089-2564 USA Email cckuo@ Received 1 January 2004 Revised 13 January 2005 A robust vision-based traffic monitoring system for vehicle and traffic information extraction is developed in this research. It is challenging to maintain detection robustness at all time for a highway surveillance system. There are three major problems in detecting and tracking a vehicle 1 the moving cast shadow effect 2 the occlusion effect and 3 nighttime detection. For moving cast shadow elimination a 2D joint vehicle-shadow model is employed. For occlusion detection a multiple-camera system is used to detect occlusion so as to extract the exact location of each vehicle. For vehicle nighttime detection a rear-view monitoring technique is proposed to maintain tracking and detection accuracy. Furthermore we propose a method to improve the accuracy of background extraction which usually serves as the first step in any vehicle detection processing. Experimental results are given to demonstrate that the proposed techniques are effective and efficient for vision-based highway surveillance. Keywords and phrases traffic monitoring object tracking moving cast shadow occlusion nighttime detection background subtraction. 1. INTRODUCTION Vision-based traffic monitoring systems are widely used in .
