Survey on Algorithms for Object Tracking in Video
نویسنده
چکیده
Object tracking is a very essential task in many applications of computer vision such as surveillance, vehicle navigation, autonomous robot navigation, etc. It contains detection of interesting moving objects and tracking of such objects from frame to frame. Its main task is to find and follow a moving object or multiple objects in image sequences. Normally there are three stages of video analysis: object detection, object tracking and object reorganization. This paper presents a brief survey of various video object tracking techniques like point tracking, kernel tracking and Silhouette tracking algorithms. General Terms Human-computer Interactions, 2D image, noise image, Proximity.
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