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Pedestrian detection and tracking at crossroads |
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| Authors: | Chia-Jung Pai [Author Vitae] [Author Vitae] Yu-Ming Liang [Author Vitae] [Author Vitae] Sei-Wang Chen [Author Vitae] |
| Affiliation: | a Department of Information and Computer Education, National Taiwan Normal University, Taiwan b Institute of Information and Computer Engineering, Chung Yuan University, Taiwan c Institute of Information Science, Academia Sinica, 128 Sinica Road, Sec 2, Nankang, Taipei 11529, Taiwan d Graduate Institute of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan |
| Abstract: | This paper presents a system that can perform pedestrian detection and tracking using vision-based techniques. A very important issue in the field of intelligent transportation system is to prevent pedestrians from being hit by vehicles. Recently, a great number of vision-based techniques have been proposed for this purpose. In this paper, we propose a vision-based method, which combines the use of a pedestrian model as well as the walking rhythm of pedestrians to detect and track walking pedestrians. Through integrating some spatial and temporal information grabbed by a vision system, we are able to develop a reliable system that can be used to prevent traffic accidents happened at crossroads. In addition, the proposed system can deal with the occlusion problem. Experimental results obtained by executing some real world cases have demonstrated that the proposed system is indeed superb. |
| Keywords: | Pedestrian detection and tracking Intelligent transportation system Pedestrian model Walking rhythm |
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