A Survey on Moving Object Recognition using Video Analytics

The process of recognizing of moving object is considered as a difficult task in the image processing. Moving Object recognition is an important task of computer vision because it is inclusion of the success of certain applications in computer vision. A number of algorithm and system has been put forward but still a challenging task because of illumination changes, background sub traction & occlusion. This survey paper formally introduces a different technique in the field of computer vision &moving object recognition. Mainly in this paper a review and study of the various procedure of object detection. In this paper we discussed about the background subtraction, object tracker SURF algorithm and analytical methods to recognize the moving object .we also compare the perfection and limitation of these methods.