Saliency target detection in complex video environment based on generation countermeasure network

Songjia Liu; Yuancheng Yao; Binyu Liu

doi:10.1117/12.2622866

1 December 2021 Saliency target detection in complex video environment based on generation countermeasure network

Songjia Liu, Yuancheng Yao, Binyu Liu

Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 1207928 (2021) https://doi.org/10.1117/12.2622866
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China

Abstract

Aiming at the problem of salient target detection in complex environment, this paper proposes a method of video image personnel detection. In this method, the improved dark channel priority processing strategy is used for image denoising and enhancement. Based on this, the model of antagonistic network is constructed by using edge constraint, which solves the problem of fuzzy edge and different prediction scores in the target region. Experimental results show that the average detection accuracy is higher than 98% and the average recall is higher than 94.12%.

Citation Download Citation

Songjia Liu, Yuancheng Yao, and Binyu Liu "Saliency target detection in complex video environment based on generation countermeasure network", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 1207928 (1 December 2021); https://doi.org/10.1117/12.2622866

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