JISE


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Journal of Information Science and Engineering, Vol. 23 No. 6, pp. 1955-1969


An Intelligent Sensor Network for Object Detection, Classification and Recognition

Frank Y. Shih, Yi-Ta Wu, Chao-Fa Chuang, Jiann-Liang Chen1, Hsi-Feng Lu1 and Yao-Chung Chang2
Computer Vision Laboratory, College of Computing Sciences 
New Jersey Institute of Technology 
Newark, New Jersey 07102, U.S.A. 
1Department of Computer Science and Information Engineering 
National Dong Hwa University 
Hualien, 974 Taiwan 
2Department of Information Management 
National Taitung University 
Taitung, 684 Taiwan

    In this paper, an intelligent sensor network is developed for object detection, classification and recognition. We utilize wireless sensors as the first layer to detect coordinates of moving objects in a secured area. Cameras are activated to capture image features for object classification and recognition. In order to reduce processing time, a hierarchical image extraction approach is developed. Global object features such as size and motion are acquired for classifying objects into a number of classes. If the moving object is considered suspicious, the cameras will be requested to capture detailed images for object recognition. Experimental results show that our system can achieve a high face recognition rate of 95.4% for the testing images captured by the surveillance system.

Keywords: surveillance system, sensor networks, support vector machine, pattern recognition

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