Indoor intrusion detection using an intelligent sensor network

To reduce redundant data volume, save energy expenditure, and enhance intelligent control for multiple video cameras in video surveillance. We present a scheme for the video surveillance system using wireless sensor network (WSN) technology. When an intrusion signal is detected by a wireless sensor module, video cameras are activated and snap pictures in fixed time interval. A neighborhood linkage problem (NLP) is also presented to trace the moving objects. Experimental results show that fusing the data of WSN and video cameras reduce the energy expenditure by 97% in intrusion detection.