Ms. Yangliu Kuai Profile

Yangliu Kuai

at National Univ of Defense Technology

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SPIE Journal Paper | 8 May 2017

Log-polar mapping-based scale space tracking with adaptive target response

Dong Dong Li, Gongjian Wen, Yangliu Kuai, Ximing Zhang

JEI, Vol. 26, Issue 03, 033003, (May 2017) https://doi.org/10.1117/12.10.1117/1.JEI.26.3.033003

KEYWORDS: Image filtering, Digital filtering, Electronic filtering, Transform theory

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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.

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