Smart Video Surveillance System using Android Smart Phones with GCM Alert

Video surveillance systems are becoming increasingly important for crime investigation and the number of cameras installed in public space is increasing. However, many cameras installed at fixed positions are required to observe a wide and complex area. In order to efficiently observe such a wide area at lower cost, mobile robots are an attractive option. According to the result of moving object detection research on video sequences, the movement of the people is tracked using video surveillance. The moving object is identified using the Cauchy distribution model. The Cauchy distribution model will compare the current frame with the previous frame. The threshold value is calculated to find the moving image. Using threshold value the detected pixel is identified. Hence the movement of the object is identified accurately. After motion detection it will send GCM alert to the android mobile application. Experimental results demonstrate the effectiveness of the proposed method in providing a promising detection outcome and a low computational cost.