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A Survey on Moving Object Detection and Tracking in Video Surveillance System

Keywords: Object detection , background subtraction , Temporal frame diiferencing , object tracking , video surveillance , statistical methods

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Abstract:

This paper presents a survey of various techniques related to video surveillance system improving the security. The goal of this paper is to review of various moving object detection and object tracking methods. This paper focuses on detection of moving objects in video surveillance system then tracking the detected objects in the scene. Moving Object detection is first low level important task for any video surveillance application. Detection of moving object is a challenging task. Tracking is required in higher level applications that require the location and shape of object in every frame. In this survey, I described Background subtraction with alpha, statistical method, Eigen background Subtraction and Temporal frame differencing to detect moving object. I also described tracking method based on point tracking, kernel tracking and silhouette tracking.

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