Target detection algorithm with wide field of view in foggy weather based on improved CSLBP operator

Xiya Lian; Zhenhong Jia; Gang Zhou; Jiajia Wang; Sensen Song; Xiaohui Xiao; Fei Shi

doi:10.1117/12.3038555

23 August 2024 Target detection algorithm with wide field of view in foggy weather based on improved CSLBP operator

Xiya Lian, Zhenhong Jia, Gang Zhou, Jiajia Wang, Sensen Song, Xiaohui Xiao, Fei Shi

Author Affiliations +

Proceedings Volume 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024); 132500Z (2024) https://doi.org/10.1117/12.3038555
Event: Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024), 2024, Kuala Lumpur, Malaysia

Abstract

In order to solve the problem of unclear foreground targets and false foregrounds after performing target detection tasks in foggy video images with wide fields of view, we propose an improved video target detection algorithm for the CSLBP operator to detect foreground targets in different scenes. The improved CSLBP operator is used to extract the texture features of the wide-field image, and the foreground target pixels are judged combined with background modeling. This method is not sensitive to changes in indoor lighting or outdoor sunlight, can effectively solve the shadow problem, and more completely extracts foreground moving targets. It also has obvious effects in bad weather such as foggy weather, and has good robustness.

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

Citation Download Citation

Xiya Lian, Zhenhong Jia, Gang Zhou, Jiajia Wang, Sensen Song, Xiaohui Xiao, and Fei Shi "Target detection algorithm with wide field of view in foggy weather based on improved CSLBP operator", Proc. SPIE 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024), 132500Z (23 August 2024); https://doi.org/10.1117/12.3038555

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