Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention

Zhiyu Mao; Manliang Cai; Siming He; Qingchuan Shu; Jia Tan

doi:10.1117/12.3035529

19 July 2024 Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention

Zhiyu Mao, Manliang Cai, Siming He, Qingchuan Shu, Jia Tan

Author Affiliations +

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132132W (2024) https://doi.org/10.1117/12.3035529
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

In special circumstances, people in power aerial work scenes often have to face high-risk and complex working conditions. How to ensure the safety of workers and improve their working efficiency has become one of the urgent problems to be solved. Therefore, an active tracking algorithm for people in power aerial work scenes based on illumination weight distribution and attention is proposed. The dangerous source structure of power aerial work scene is constructed, and the light weight distribution and attention are combined, and the active tracking index is constructed to evaluate the risk level, which is divided into five levels, and the active tracking offset of personnel in power aerial work scene is calculated to locate the abnormal point of personnel in power aerial work scene. The experimental results show that the response curve of the algorithm in this paper is in good agreement with the ideal curve, and the active tracking accuracy is high, so it has good active tracking effect.

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

Citation Download Citation

Zhiyu Mao, Manliang Cai, Siming He, Qingchuan Shu, and Jia Tan "Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132132W (19 July 2024); https://doi.org/10.1117/12.3035529

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