A Study of Video Object Tracking based on Automatic Background Segmentation and updating using Different Technique
Pushpender Prasad Chaturvedi, Amit Singh Rajput, Aabha Jain
Abstract
Video object tracking play an important role in security surveillance in current scenario. The explosion of successful digital device, the ease of use of high quality and economical video cameras, and the increasing need for computerized video analysis has generated a great deal of interest in video tracking methods. There are three techniques for video analysis: exposure of interesting moving target, tracking of such target from frame to frame, and analysis of target tracks to identify their activities. The successful video object tracking system faced a problem of false detection of moving video object. The false video object detection arises due to drastic change of background of moving video. For the maintenance of background updating various authors proposed a method for automatic background updating. In this paper we study of different video object tracking method using background updating factor.
Keyword
Video Tracking, Noise Filter, Segmentation.