Accurate scale estimation for correlation filter based visual tracking

You Zhai; Dong Han; Baohua Xu; Xiwei Guo

doi:10.1117/12.2539629

14 August 2019 Accurate scale estimation for correlation filter based visual tracking

You Zhai, Dong Han, Baohua Xu, Xiwei Guo

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111792N (2019) https://doi.org/10.1117/12.2539629
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

Most of the correlation filter-based trackers learn a 1D correlation filter for scale search. The scale searching space of 1D scale filter is discrete, which results in high computation complexity and low scale estimation accuracy. In this paper, we present an interpolation model for accurate scale estimation for correlation filter-based tracking. Experiments are performed on selected images from the OTB (Object Tracking Benchmark) datasets. Compared to the standard 1D correlation filter for scale search, our approach has better average distance precision and overlap precision. Additionally, the center distance error is even less than half of the standard 1D correlation filter. Meanwhile, our method is computationally efficient, operating at a 20.7% higher frame rate.

Citation Download Citation

You Zhai, Dong Han, Baohua Xu, and Xiwei Guo "Accurate scale estimation for correlation filter based visual tracking", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792N (14 August 2019); https://doi.org/10.1117/12.2539629

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KEYWORDS

Image filtering

Electronic filtering

Optical tracking

Statistical analysis

Convolution

Optimal filtering

Machine vision

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