reviewACM Computing SurveysDec 25, 2006GREEN OA

Object tracking

The Ohio State University · ObjectVideo (United States) · +1 more institution

Indexed incrossref

Abstract

The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, 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. Typically, assumptions are made to constrain the tracking problem in the context of a particular application. In this survey, we categorize the…

Citation impact

4,693
total citations
FWCI
111.02
Percentile
100%
References
176
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Computer vision
  • Artificial intelligence
  • Object (grammar)
  • Video tracking
  • Tracking (education)
  • Context (archaeology)
  • Categorization
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