• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Size Aware Correlation Filter Tracking with Adaptive Aspect Ratio Estimation

Vol. 11, No.2, February 28, 2017
10.3837/tiis.2017.02.010, Download Paper (Free):

Abstract

Correlation Filter-based Trackers (CFTs) gained popularity recently for their effectiveness and efficiency. To deal with the size changes of the target which may degenerate the tracking performance, scale estimation has been introduced in existing CFTs. However, the variations of the aspect ratio were usually neglected, which also influence the size of the target. In this paper, Size Aware Correlation Filter Trackers (SACFTs) are proposed to deal with this problem. The SACFTs not only determine the translation and scale variations, but also take the aspect ratio changes into consideration, thus a better estimation of the size of the target can be realized, which improves the overall tracking performance. And competing results can be achieved compared with state-of-the-art methods according to the experiments conducted on two large scale datasets.


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Cite this article

[IEEE Style]
Xiaozhou Zhu, Xin Song, Xiaoqian Chen, Yuzhu Bai and Huimin Lu, "Size Aware Correlation Filter Tracking with Adaptive Aspect Ratio Estimation," KSII Transactions on Internet and Information Systems, vol. 11, no. 2, pp. 805-825, 2017. DOI: 10.3837/tiis.2017.02.010

[ACM Style]
Zhu, X., Song, X., Chen, X., Bai, Y., and Lu, H. 2017. Size Aware Correlation Filter Tracking with Adaptive Aspect Ratio Estimation. KSII Transactions on Internet and Information Systems, 11, 2, (2017), 805-825. DOI: 10.3837/tiis.2017.02.010