Robust real-time object tracking using tiered templates

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

1 Citation (Scopus)

Abstract

![CDATA[Object tracking has been an important topic in the field of computer vision. This paper proposes a robust method of tracking a moving object continuously in real-time without prior information and learning. The key strategies involved in this novel method are: combining intensity template matching with colour histogram model to increase tracking robustness, employing a three-tier system to store templates, applying update and tracking policies for template management. Experiment results have shown that the proposed method achieved the highest tracking accuracy among existing methods from various benchmark videos.]]
Original languageEnglish
Title of host publicationProceedings of the 13th World Congress on Intelligent Control and Automation, Changsha, China, 4-8 July, 2018
PublisherIEEE
Pages659-663
Number of pages5
ISBN (Print)9781538673461
DOIs
Publication statusPublished - 2018
EventWorld Congress on Intelligent Control and Automation -
Duration: 4 Jul 2018 → …

Conference

ConferenceWorld Congress on Intelligent Control and Automation
Period4/07/18 → …

Keywords

  • computer vision
  • object tracking
  • real-time data processing
  • robust control

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