Video Motion Surveillance System

Abstract

Detection of motion is the important step in video surveillance and detect the regions belongs to moving objects. Classification of objects and activity recognition is done by using the motion information. Sequences obtained by the dynamic camera are not suitable by object detection methods using background modeling. In unstable environment, an accurate and proper object detection method is needed. The proposed work represents an object detection algorithm. Surveillance systems used in different applications in different environment. Due to the incompleteness of this area, we proposed the Cauchy distribution model for detecting the human movement.