A survey of appearance models in visual object tracking

Chinese Academy of Sciences · The University of Adelaide · +1 more institution

Indexed incrossref

Abstract

Visual object tracking is a significant computer vision task which can be applied to many domains, such as visual surveillance, human computer interaction, and video compression. Despite extensive research on this topic, it still suffers from difficulties in handling complex object appearance changes caused by factors such as illumination variation, partial occlusion, shape deformation, and camera motion. Therefore, effective modeling of the 2D appearance of tracked objects is a key issue for the success of a visual tracker. In the literature, researchers have proposed a variety of 2D appearance models. To help readers swiftly learn the recent advances in 2D appearance models for visual object tracking, we…

Citation impact

726
total citations
FWCI
69.59
Percentile
100%
References
217
Citations per year

Authors

6

Topics & keywords

Keywords
  • Computer science
  • Artificial intelligence
  • Object (grammar)
  • Computer vision
  • Tracking (education)
  • Eye tracking
  • Human–computer interaction
UN Sustainable Development Goals
  • Reduced inequalities
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