Title :
Pedestrian tracking across panning camera network
Author :
Fujimura, Kaichi ; Hyodo, Yasuhide ; Kamijo, Shunsuke
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
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;
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
DOI :
10.1109/ITSC.2009.5309868
