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Occlusion-aware visual tracker using spatial structural information and dominant features
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 2 (31 Mar. 2021), pp.191-198, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-03-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
To overcome the problem of occlusion in visual tracking, this paper proposes an occlusion-aware tracking algorithm.
The proposed algorithm divides the object into discrete image patches according to the pixel distribution of the object by means of clustering.
To avoid the drifting of the tracker to false targets, the proposed algorithm extracts the dominant features, such as color histogram or histogram of oriented gradient orientation, from these image patches, and uses them as cues for tracking.
To enhance the robustness of the tracker, the proposed algorithm employs an implicit spatial structure between these patches as another cue for tracking; Afterwards, the proposed algorithm incorporates these components into the particle filter framework, which results in a robust and precise tracker.
Experimental results on color image sequences with different resolutions show that the proposed tracker outperforms the comparison algorithms on handling occlusion in visual tracking.
American Psychological Association (APA)
Cai, Rongtai& Zhu, Peng. 2021. Occlusion-aware visual tracker using spatial structural information and dominant features. The International Arab Journal of Information Technology،Vol. 18, no. 2, pp.191-198.
https://search.emarefa.net/detail/BIM-1430911
Modern Language Association (MLA)
Cai, Rongtai& Zhu, Peng. Occlusion-aware visual tracker using spatial structural information and dominant features. The International Arab Journal of Information Technology Vol. 18, no. 2 (Mar. 2021), pp.191-198.
https://search.emarefa.net/detail/BIM-1430911
American Medical Association (AMA)
Cai, Rongtai& Zhu, Peng. Occlusion-aware visual tracker using spatial structural information and dominant features. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 2, pp.191-198.
https://search.emarefa.net/detail/BIM-1430911
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 197-198
Record ID
BIM-1430911