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Journal of Electronic Imaging

Log-polar mapping-based scale space tracking with adaptive target response
Author(s): Dong Dong Li; Gongjian Wen; Yangliu Kuai; Ximing Zhang
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Paper Abstract

Correlation filter-based tracking has exhibited impressive robustness and accuracy in recent years. Standard correlation filter-based trackers are restricted to translation estimation and equipped with fixed target response. These trackers produce an inferior performance when encountered with a significant scale variation or appearance change. We propose a log-polar mapping-based scale space tracker with an adaptive target response. This tracker transforms the scale variation of the target in the Cartesian space into a shift along the logarithmic axis in the log-polar space. A one-dimensional scale correlation filter is learned online to estimate the shift along the logarithmic axis. With the log-polar representation, scale estimation is achieved accurately without a multiresolution pyramid. To achieve an adaptive target response, a variance of the Gaussian function is computed from the response map and updated online with a learning rate parameter. Our log-polar mapping-based scale correlation filter and adaptive target response can be combined with any correlation filter-based trackers. In addition, the scale correlation filter can be extended to a two-dimensional correlation filter to achieve joint estimation of the scale variation and in-plane rotation. Experiments performed on an OTB50 benchmark demonstrate that our tracker achieves superior performance against state-of-the-art trackers.

Paper Details

Date Published: 8 May 2017
PDF: 10 pages
J. Electron. Imag. 26(3) 033003 doi: 10.1117/1.JEI.26.3.033003
Published in: Journal of Electronic Imaging Volume 26, Issue 3
Show Author Affiliations
Dong Dong Li, National Univ. of Defense Technology (China)
Gongjian Wen, National Univ. of Defense Technology (China)
Yangliu Kuai, National Univ. of Defense Technology (China)
Ximing Zhang, The Australian National Univ. (Australia)

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