Pedestrian detection and tracking at crossroads

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

Pedestrian detection and tracking at crossroads

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

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Contribution to conference › Paper › peer-review

13 Citations (Scopus)

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

Cite this

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title = "Pedestrian detection and tracking at crossroads",

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.",

author = "Pai, {Chia Jung} and Tyan, {Hsiao Rong} and Liang, {Yu Ming} and Liao, {Hong Yuan Mark} and Chen, {Sei Wang}",

year = "2003",

language = "English",

pages = "101--104",

note = "Proceedings: 2003 International Conference on Image Processing, ICIP-2003 ; Conference date: 14-09-2003 Through 17-09-2003",

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AU - Pai, Chia Jung

AU - Tyan, Hsiao Rong

AU - Liang, Yu Ming

AU - Liao, Hong Yuan Mark

AU - Chen, Sei Wang

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

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M3 - Paper

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T2 - Proceedings: 2003 International Conference on Image Processing, ICIP-2003

Y2 - 14 September 2003 through 17 September 2003

ER -

Pedestrian detection and tracking at crossroads

Abstract

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ASJC Scopus subject areas

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