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: 雜誌貢獻文章

82 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)1025-1034
頁數10
期刊Pattern Recognition
37
發行號5
DOIs
出版狀態已發佈 - 2004 五月 1

    指紋

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

引用此

Pai, C. J., Tyan, H. R., Liang, Y. M., Liao, H. Y. M., & Chen, S. W. (2004). Pedestrian detection and tracking at crossroads. Pattern Recognition, 37(5), 1025-1034. https://doi.org/10.1016/j.patcog.2003.10.005