A unified framework for capturing facial images in video surveillance systems using cooperative camera system

Fai Chan; Yiu-Sang Moon; Jiansheng Chen; Yiu-Kwan Ma; Wai-Hung Tsang; Kah-Kuen Fu

doi:10.1117/12.777610

24 March 2008 A unified framework for capturing facial images in video surveillance systems using cooperative camera system

Fai Chan, Yiu-Sang Moon, Jiansheng Chen, Yiu-Kwan Ma, Wai-Hung Tsang, Kah-Kuen Fu

Author Affiliations +

Proceedings Volume 6971, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXII; 697105 (2008) https://doi.org/10.1117/12.777610
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Fai Chan, Yiu-Sang Moon, Jiansheng Chen, Yiu-Kwan Ma, Wai-Hung Tsang, and Kah-Kuen Fu "A unified framework for capturing facial images in video surveillance systems using cooperative camera system", Proc. SPIE 6971, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXII, 697105 (24 March 2008); https://doi.org/10.1117/12.777610

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