People Tracking in a Building Using Color Histogram Classifiers and Gaussian Weighted Individual Separation Approaches

Che-Hung Lin ； Sheng-Luen Chung ； Jing-Ming Guo

《Journal of Marine Science and Technology》 預刊文章 Pp. 49-58

並列摘要

This paper focuses on people tracking within a building with the installment of distributed overhead cameras. Our primary concern is to keep tracks of: number of people entrance to a particular area; and the whereabouts trajectory of a particular person within the monitored building. With image taken from ceiling mounted camera, pedestrian's physiologic contour is analyzed from four different viewing angles to form a person's identity signature. In doing so, techniques to locate a person's head, to predict his/her movement direction, to separate overlapped physiological blobs, and to differentiate different people by color histogram classifier have been proposed. Special attention has been paid for system configurability such that the proposed software architecture can be deployed to different floor plans. We have conducted a continuing surveillance monitoring on the third floor of Electrical Engineering and Computer Science (EECS) building in National Taiwan University of Science and Technology (NTUST), and the result shows moderate surveillance performance: 93% accuracy in entrance counting, and 76% accuracy in identification checking.

並列關鍵字

people tracking system ； surveillance ； color histograms classifier ； Gaussian weighted individual separation ； movement prediction