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Proceedings Paper

A unified framework for capturing facial images in video surveillance systems using cooperative camera system
Author(s): Fai Chan; Yiu-Sang Moon; Jiansheng Chen; Yiu-Kwan Ma; Wai-Hung Tsang; Kah-Kuen Fu
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Paper Abstract

Low resolution and un-sharp facial images are always captured from surveillance videos because of long human-camera distance and human movements. Previous works addressed this problem by using an active camera to capture close-up facial images without considering human movements and mechanical delays of the active camera. In this paper, we proposed a unified framework to capture facial images in video surveillance systems by using one static and active camera in a cooperative manner. Human faces are first located by a skin-color based real-time face detection algorithm. A stereo camera model is also employed to approximate human face location and his/her velocity with respect to the active camera. Given the mechanical delays of the active camera, the position of a target face with a given delay can be estimated using a Human-Camera Synchronization Model. By controlling the active camera with corresponding amount of pan, tilt, and zoom, a clear close-up facial image of a moving human can be captured then. We built the proposed system in an 8.4-meter indoor corridor. Results show that the proposed stereo camera configuration can locate faces with average error of 3%. In addition, it is capable of capturing facial images of a walking human clearly in first instance in 90% of the test cases.

Paper Details

Date Published: 24 March 2008
PDF: 12 pages
Proc. SPIE 6971, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXII, 697105 (24 March 2008); doi: 10.1117/12.777610
Show Author Affiliations
Fai Chan, The Chinese Univ. of Hong Kong (Hong Kong China)
Yiu-Sang Moon, The Chinese Univ. of Hong Kong (Hong Kong China)
Jiansheng Chen, The Chinese Univ. of Hong Kong (Hong Kong China)
Yiu-Kwan Ma, The Chinese Univ. of Hong Kong (Hong Kong China)
Wai-Hung Tsang, The Chinese Univ. of Hong Kong (Hong Kong China)
Kah-Kuen Fu, The Chinese Univ. of Hong Kong (Hong Kong China)


Published in SPIE Proceedings Vol. 6971:
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXII
Steven L. Chodos; William E. Thompson, Editor(s)

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