An object tracking algorithm based on projection matrix

作者：Jiang Mingxin; Li Min^*; Wang Hongyu

来源：Journal of Convergence Information Technology, 2012, 7(20): 209-217.

DOI：10.4156/jcit.vol7.issue20.25

• Abnormal change
• Bayesian MAP
• Image decomposition
• Maximum A posteriori probabilities
• Object Tracking
• Object tracking algorithm
• Projection matrix
• Visual object tracking

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.

• 出版日期2012