文档介绍：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. Dif?culties 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. Typically, assumptions are made to constrain the tracking problem in the context of a particular application. In this survey, we categorize the tracking methods on the basis of the object and motion representations used, provide detailed descriptions of representative methods in each category, and examine their pros and cons. Moreover, we discuss the important issues related to tracking including the use of appropriate image features, selection of motion models, and detection of objects. Categories and Subject Descriptors: [ Image Processing puter Vision ]: Scene Analysis— Tracking General Terms: Algorithms Additional Key Words andPhrases: Appearance models, contour evolution, feature selection, object detection, object representation, point tracking, shape tracking ACM Reference Format: Yilmaz, A., Javed, O., and Shah, M. 2006. Object tracking: A survey. put. Surv. 38 , 4, Article 13 (Dec. 2006), 45 pages. DOI = http://doi./ This material is based on work funded in part by the USGovernment. Anyopinions, ?ndings, and conclusions or mendations expressed in this material are those of the authors and do not necessarily re?ect the views of the US Government. Author’s address: A. Yilmaz, Department of CEEGS, Ohio State Uni