Transcription of Object Tracking: A Survey - UCF CRCV
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Object Tracking: A Survey - UCF CRCV
Object tracking : A Survey Alper Yilmaz Ohio State University Omar Javed ObjectVideo, Inc. and Mubarak Shah University of Central Florida The goal of this article is to review the state-of-the-art tracking methods, classify them into different cate- gories, and identify new trends. Object tracking , in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt Object motion, changing appearance patterns of both the Object and the scene, nonrigid Object structures, Object -to- Object and Object -to-scene occlusions, and camera motion. tracking is usually performed in the context of higher-level applications that require the location and/or shape of the Object in every frame.
motion, edges, etc., which are commonly used in object tracking. Almost all tracking algorithms require detection of the objects either in the first frame or in every frame. Section 4 summarizes the general strategies for detecting the objects in a scene. The suitability of a particular tracking algorithm depends on object appearances, object
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