A novel anti-occlusion and scale adaptation re-tracking method with correlation filtering tracker algorithm

Xinyi Shen; Jiahang Liu

doi:10.1117/12.2684323

1 August 2023 A novel anti-occlusion and scale adaptation re-tracking method with correlation filtering tracker algorithm

Xinyi Shen, Jiahang Liu

Author Affiliations +

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127542K (2023) https://doi.org/10.1117/12.2684323
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

In recent years, Kernel Correlation Filter (KCF) has been a highlight topic due to its excellent performance on visual tracking tasks in real-scenes. However, fixed search boxes which are used to delineate candidate objects are widely used in the current KCF based algorithms, and its tracking ability degrades when the scale of the object changes. Besides, occlusion always make the tracked object lost in real scene as the tracker highly relies on the response maximum. To improve robustness and reliability, we propose a scale-adaptive target tracking algorithm based on KCF to meet the challenge of the scale variation. At the same time, we propose a new strategy for template update with the average peak correlation energy to reduce the drift problem. When both the average peak correlation energy and the maximum response peak of the current frame are lower than the certain thresholds, the proposed re-detection model will be activated to detect the corresponding object through the particle resampling strategy and regain the position. Experiments on public data sets OTB2013 are used to verify the behaviors of the proposed method, and the results indicate that the proposed algorithm holds the superiority to the current correlation filtering algorithm in the evaluation index of success rate and range accuracy, and is more stable in the case of large scale variation of target and occlusion.

Citation Download Citation

Xinyi Shen and Jiahang Liu "A novel anti-occlusion and scale adaptation re-tracking method with correlation filtering tracker algorithm", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127542K (1 August 2023); https://doi.org/10.1117/12.2684323

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