An anti-occlusion tracking algorithm based on mask strategy and adaptive response fusion

Zhongyu Duan; Shixiang Huang; Zhongmu Yue; Tian Tian; Jinwen Tian

doi:10.1117/12.2688494

7 March 2024 An anti-occlusion tracking algorithm based on mask strategy and adaptive response fusion

Zhongyu Duan, Shixiang Huang, Zhongmu Yue, Tian Tian, Jinwen Tian

Proceedings Volume 13085, MIPPR 2023: Automatic Target Recognition and Navigation; 1308503 (2024) https://doi.org/10.1117/12.2688494
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China

Abstract

In long-term target tracking, target occlusion is an important factor that affects the performance of the tracker, and it is also an inevitable problem in long-term target tracking. Therefore, it is necessary to adopt corresponding strategies for target occlusion to improve the robustness of the tracker in corresponding scenarios. In response to the problem of target loss in complex background scenarios such as target occlusion in current filtering based tracking algorithms, this paper studies the use of masking strategies and adaptive response fusion methods to improve the accuracy and robustness of tracking algorithms.The experimental results demonstrate the effectiveness of various strategies in resisting occlusion in tracking algorithms. The experimental results of the overall algorithm indicate that the algorithm can effectively solve occlusion problems while balancing accuracy, speed, and robustness.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhongyu Duan, Shixiang Huang, Zhongmu Yue, Tian Tian, and Jinwen Tian "An anti-occlusion tracking algorithm based on mask strategy and adaptive response fusion", Proc. SPIE 13085, MIPPR 2023: Automatic Target Recognition and Navigation, 1308503 (7 March 2024); https://doi.org/10.1117/12.2688494

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KEYWORDS

Detection and tracking algorithms

Target detection

Image processing

Education and training

Histograms of oriented gradient

Video

Image filtering

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