Pedestrian detection and tracking at crossroads

Chia Jung Pai, Hsiao Rong Tyan, Yu Ming Liang, Hong Yuan Mark Liao*, Sei Wang Chen


研究成果: 雜誌貢獻期刊論文同行評審

83 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)1025-1034
期刊Pattern Recognition
出版狀態已發佈 - 2004 5月

ASJC Scopus subject areas

  • 軟體
  • 訊號處理
  • 電腦視覺和模式識別
  • 人工智慧


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