An improved target tracking learning detection algorithm

Yang Gao; Changbo Xu; Shaozhong Cao

doi:10.1117/12.2682442

20 June 2023 An improved target tracking learning detection algorithm

Yang Gao, Changbo Xu, Shaozhong Cao

Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 127151C (2023) https://doi.org/10.1117/12.2682442
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China

Abstract

Aiming at the problem that Tracking accuracy of Tracking-Learning-Detection (TLD) tracking algorithm decreases when targets are under different light and shade conditions and target scales change, an improved TLD tracking algorithm is proposed. In this paper, Speeded Up Robust Features (SURF) feature point matching method was adopted as the tracking module, and the feature point pairs with low confidence were removed by adding the evaluation of feature point pairs. By introducing Contrast Limited Adaptive Histogram Equalization (CLAHE) into the detection module, a random Circle feature classifier is proposed, and the HOG feature matching method is used to replace the normalized correlation matching method in the nearest neighbor classifier. In addition, the detection range is adjusted adaptively, which reduces the computational complexity and effectively improves the adaptability of the algorithm to multi-scale. Experimental results show that the proposed algorithm can effectively overcome the influence of environmental shading conditions, and has strong robustness to scale changes and high tracking accuracy. Compared with the classical TLD algorithm, the improved algorithm performs better.

Citation Download Citation

Yang Gao, Changbo Xu, and Shaozhong Cao "An improved target tracking learning detection algorithm", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 127151C (20 June 2023); https://doi.org/10.1117/12.2682442

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KEYWORDS

Detection and tracking algorithms

Histograms of oriented gradient

Target detection

Light sources and illumination

Optical tracking

Histograms

Image classification

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