Pedestrian tracking across panning camera network

Author

Fujimura, Kaichi ; Hyodo, Yasuhide ; Kamijo, Shunsuke

Author_Institution

Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan

fYear

2009

fDate

4-7 Oct. 2009

Firstpage

1

Lastpage

6

Abstract

This paper describes developing of an occlusion robust tracking algorithm of pedestrians in the panning images by the combination between the S-T MRF model and pattern recognition methods of Snakes and HOG classifier. Tracking in panning images would extend the field of view of single camera. In addition, an algorithm to match pedestrians between cameras that have overlapping area with each other in their field of view is represented. Finally, the tracking algorithm in panning images and the pedestrian matching algorithm between the overlapping images are combined to extend the area of pedestrian surveillance.

Keywords

Markov processes; cameras; image classification; image matching; image segmentation; random processes; tracking; traffic engineering computing; video surveillance; HOG classifier; S-T MRF model; Snakes method; image matching; image segmentation; occlusion robust pedestrian tracking algorithm; panning camera network; panning image; pattern recognition; video surveillance; Calibration; Intelligent transportation systems; Level set; Pattern recognition; Robustness; Security; Smart cameras; USA Councils; Video surveillance; Videoconference; Video Surveillance; occlusion; panning camera; pedestrian tracking; the S-T MRF model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 2009. ITSC '09. 12th International IEEE Conference on

Conference_Location

St. Louis, MO

Print_ISBN

978-1-4244-5519-5

Electronic_ISBN

978-1-4244-5520-1

Type

conf

DOI

10.1109/ITSC.2009.5309868

Filename

5309868