Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 7,
  • Issue 5,
  • pp. 400-402
  • (2009)

Robust visual tracking based on multi-cue integration

Not Accessible

Your library or personal account may give you access

Abstract

Traditional color-based mean shift tracking algorithm is unable to accurately track the object. To address this problem, we present an improved tracking algorithm. The improved tracker integrates the color and motion cues which characterize the appearance and motion information of the object, respectively. These two visual cues can complement each other and make for more precise target localization. Experiments show that the proposed tracking algorithm has better performance than the traditional mean shift tracker.

© 2009 Chinese Optics Letters

PDF Article
More Like This
Infrared human tracking with improved mean shift algorithm based on multicue fusion

Xin Wang, Lei Liu, and Zhenmin Tang
Appl. Opt. 48(21) 4201-4212 (2009)

Game theory-based visual tracking approach focusing on color and texture features

Zefenfen Jin, Zhiqiang Hou, Wangsheng Yu, Chuanhua Chen, and Xin Wang
Appl. Opt. 56(21) 5982-5989 (2017)

Oversaturated part-based visual tracking via spatio-temporal context learning

Wei Liu, Jicheng Li, Zhiguang Shi, Xiaotian Chen, and Xiao Chen
Appl. Opt. 55(25) 6960-6968 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved