Video Foreground Detection Algorithm Based on Fast Principal Component Pursuit and Motion Saliency
Joint Authors
Tong, Ying
Chen, Rui
Yang, Jie
Wu, Minghu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Aiming at the shortcoming of being unsuitable for dynamic background and high computational complexity of the existing RPCA- (robust principal component analysis-) based block-sparse moving object detection method, this paper proposes a two-stage foreground detection framework based on motion saliency for video sequence.
At the first stage, the observed image sequence is regarded as the sum of a low-rank background matrix and a sparse outlier matrix, and then the decomposition is solved by the RPCA method via fast PCP (principal component pursuit).
At the second stage, the sparse foreground blocks are obtained according to the spectral residuals and the spatial correlation of the foreground region.
Finally, the block-sparse RPCA algorithm through fast PCP is used to estimate foreground areas dynamically and to reconstruct the foreground objects.
Extensive experiments demonstrate that our method can exclude the interference of background motion and change, simultaneously improving the detection rate of small targets.
American Psychological Association (APA)
Chen, Rui& Tong, Ying& Yang, Jie& Wu, Minghu. 2019. Video Foreground Detection Algorithm Based on Fast Principal Component Pursuit and Motion Saliency. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129467
Modern Language Association (MLA)
Chen, Rui…[et al.]. Video Foreground Detection Algorithm Based on Fast Principal Component Pursuit and Motion Saliency. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1129467
American Medical Association (AMA)
Chen, Rui& Tong, Ying& Yang, Jie& Wu, Minghu. Video Foreground Detection Algorithm Based on Fast Principal Component Pursuit and Motion Saliency. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129467
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129467