A Cooperative Dual-Camera System for Face Recognition and Video Monitoring

Abstract:

In the ordinary video monitoring system, the whole small scene is usually observed by a stationary camera or a few stationary cameras, but the system can’t zoom and focus on the target of interest rapidly, and also can’t get the high resolution image of the target of interest in a far distance. Therefore based on the research of the dual-camera cooperation and a RSOM clustering tree and CSHG algorithm, a cooperative dual-camera system is designed to track and recognize a face quickly in a large-scale and far-distance scene in this paper, which is made up of a Stationary Wide Field of View (SWFV) camera and a Pan-Tilt-Zoom (PTZ) camera. In the meanwhile, the algorithm can ensure the real-time requirement.

• Periodical: Advanced Materials Research (Volumes 998-999)
• Pages: 784-788
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.998-999.784
• Online since: July 2014
• Authors: Zhuo Chen*, Hai Bo Wu, Sheng Ping Xia
• Keywords: Class Specific Hyper Graph (CSHG), Dual-Camera Cooperation, Face Recognition, Recursive SOM (RSOM) Clustering Tree

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