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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. In addition to this thesis, we present an operational computer vision for realtime observing, detection and tracking of human motion in a tough area. Cauchy distribution Model is used to detect the pixel of moving object in the detected incoming video frame. Whenever motion detected that image is saved on the server and the server will notify the Google server. The Google server will send a alert to the android application user mobile who are all registered for that application. Keywords--Video surveillance, Cauchy distribution model, GCM (Google Cloud Messaging), Android smart phone.

Modelling of Moving Object Detection using GCM Alert System