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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.

—Probability densities of object appearance. The probability density estimates of the object appearance can either be parametric, such as Gaussian [Zhu and Yuille 1996] and a mixture of Gaussians [Paragios and Deriche 2002], or nonparametric, such as Parzen windows [Elgammal et al. 2002] and histograms [Comaniciu et al. 2003]. The

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