Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2012-11-01

Journal: Journal of Convergence Information Technology

Included Journals: Scopus、EI

Volume: 7

Issue: 20

Page Number: 209-217

ISSN: 19759320

Abstract: In this paper, we propose a visual object tracking algorithm based on projection matrix. Firstly, the variance of pixels in the templates is computed and each template is decomposed into a more discriminative image and a less discriminative image. Then, projection matrix is learned according to the result of the decomposition. Finally, the object tracking results are obtained by using Bayesian MAP (maximum a posteriori probability) estimation. Compared with other popular methods, our proposed method has strong robustness to abnormal changes.