Pedestrian detection and tracking at crossroads

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

Research output: Contribution to conferencePaper

11 Citations (Scopus)


This paper presents a system for pedestrian detection and tracking by using image processing 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. Through integrating these spatial and temporal information grabbed by a vision system, we are able to develop a reliable pedestrian detection and tracking system that can always produce accurate results. Experimental results obtained using the real world cases have demonstrated that the proposed model is indeed superb.

Original languageEnglish
Number of pages4
Publication statusPublished - 2003 Dec 17
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: 2003 Sep 142003 Sep 17


OtherProceedings: 2003 International Conference on Image Processing, ICIP-2003

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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    Pai, C. J., Tyan, H. R., Liang, Y. M., Liao, H. Y. M., & Chen, S. W. (2003). Pedestrian detection and tracking at crossroads. 101-104. Paper presented at Proceedings: 2003 International Conference on Image Processing, ICIP-2003, Barcelona, Spain.