Hybrid Algorithm for Detection of Moving Object

Motion detection is the process of detecting a change in position of an object relative to its surrounding or the change in the surroundings relative to an object. Detecting the moving objects relative to the whole image is the major task of it. Detecting moving objects is the foundation of other advanced applications, such as target tracking, targets classification and target behavior understanding. Input video sequence is given to the background subtraction model which updates background continuously. Here median filter and morphological operation is also done to remove the noise from the background. After doing this foreground is extracted from the video scene. After extracting the foreground, applied optical flow method and do analysis of motion vector of object. After motion vector analysis, calculate the threshold value using mean, standard deviation etc. After doing this detection of moving object is extracted from video scene. This both methods give better accuracy of object detection.