Abstract
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 language | English |
---|---|
Pages | 101-104 |
Number of pages | 4 |
Publication status | Published - 2003 |
Event | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: 2003 Sept 14 → 2003 Sept 17 |
Other
Other | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 |
---|---|
Country/Territory | Spain |
City | Barcelona |
Period | 2003/09/14 → 2003/09/17 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering