Paper
9 October 2023 Mask-guided two-stream attention network with modality alignment for infrared-visible person re-identification
Yijie Gou, Wenfeng Zhang, Xiaohong Lan, Yi Liu, Xiaoyun Lan
Author Affiliations +
Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127911R (2023) https://doi.org/10.1117/12.3004684
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China
Abstract
In the existing person re-identification research, most of the studies are based on the person re-identification of visible light images, and the illumination conditions can affect the experimental results. Therefore, cross-modal person re-identification research has emerged, and the most commonly used method is visible-infrared person re-identification. Due to different cameras, different camera angles, different scenes, and other factors, cross-modal person re-identification faces great challenges of cross-modal differences and intra-class variations. Therefore, Mask-guided Two-stream Attention Network (MTAN) with modality alignment for infrared-visible person re-identification is proposed in this paper. First, the mask-guided two-stream feature extraction network is proposed to extract shape-aware modality features. Then, the modality alignment module is designed to eliminate cross-modal feature distribution bias. Overall, the proposed method combines the mask-guided two-stream feature extraction network, modality alignment module and the loss functions, to effectively extract modality-aware distinguishable features and reduce cross-modal distribution bias.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yijie Gou, Wenfeng Zhang, Xiaohong Lan, Yi Liu, and Xiaoyun Lan "Mask-guided two-stream attention network with modality alignment for infrared-visible person re-identification", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127911R (9 October 2023); https://doi.org/10.1117/12.3004684
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KEYWORDS
Infrared imaging

Infrared radiation

Feature extraction

Visible radiation

Semantics

RGB color model

Infrared cameras

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