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Proceedings Paper

Accurate scale estimation for correlation filter based visual tracking
Author(s): You Zhai; Dong Han; Baohua Xu; Xiwei Guo
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Paper 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.

Paper Details

Date Published: 14 August 2019
PDF: 6 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792N (14 August 2019); doi: 10.1117/12.2539629
Show Author Affiliations
You Zhai, Army Engineering Univ. (China)
Dong Han, Army Engineering Univ. (China)
Baohua Xu, Army Engineering Univ. (China)
Xiwei Guo, Army Engineering Univ. (China)

Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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