Size Aware Correlation Filter Tracking with Adaptive Aspect Ratio Estimation

• Xiaozhou Zhu,
• Xin Song,
• Xiaoqian Chen,
• Yuzhu Bai,
• Huimin Lu,

Vol. 11, No. 2, February 27, 2017
10.3837/tiis.2017.02.010, Download Paper (Free):

• object tracking
• Visual tracking
• correlation filter
• correlation filter-based trackers
• aspect ratio

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.

Statistics

Cite this article