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 |
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| 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 |
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| 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