An intelligent sensor network for object detection, classification and recognition
Frank Y. Shih, Yi Ta Wu, Chao-Fa Chuang, Jiann Liang Chen, Hsi Feng Lu, Yao Chung Chang · 2007
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.