An improved motion detection and tracking of active blob for video surveillance

Motion detection plays a primary vital part in the process of extraction of information regarding the moving objects and utilizes the stabilization in functional areas, such as tracking, classification, recognition etc. In this paper, we propose an extended view and precise approach to motion detection for the automatic video surveillance system. This method accomplishes a complete detection of any moving object by involving substantial modules such as Background subtraction method, Dynamic Optimization threshold method to gain a vivid picture of the moving object, Morphological filtering is introduced to eliminate the noise and hence Background disturbance problem is solved. Then the paper presents tracking and cropping of the detected moving object. The visual inspection analysis of this method of Detecting, Tracking and Cropping of moving object has gained a better result.