Long-term correlation filter tracking algorithm based on adaptive feature fusion

Ling Gan; Yu Ma

doi:10.1117/12.2623255

16 February 2022 Long-term correlation filter tracking algorithm based on adaptive feature fusion

Ling Gan, Yu Ma

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120830U (2022) https://doi.org/10.1117/12.2623255
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

In the complex tracking environment, most of existing correlation filter-based tracking algorithms are often unable to track the target stably for a long time. To solve this challenging problem, in this paper, we propose a long-term correlation filter tracking algorithm based on adaptive feature fusion. Firstly, we normalize the response peaks of different features to dynamically assign feature weights for the purpose of combining HOG features and color histogram features adaptively. Secondly, a detection filter is learned to detect the tracking results, and we judge the confidence of detection results by the detection response peak and the normalized value of average peak correlation energy. If the target is in a low confidence state, the re-detection module is employed to relocate the target to achieve long-term tracking. Our experimental results on the OTB-2013 and OTB-2015 benchmark datasets demonstrate that the proposed method performs favorably against some state-of-the-art methods in terms of accuracy and robustness. Furthermore, the proposed method satisfies the accuracy and real-time requirements of long-term tracking in complex environments.

Citation Download Citation

Ling Gan and Yu Ma "Long-term correlation filter tracking algorithm based on adaptive feature fusion", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120830U (16 February 2022); https://doi.org/10.1117/12.2623255

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KEYWORDS

Detection and tracking algorithms

Electronic filtering

Target detection

Image filtering

Video

Digital filtering

Optical filters

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