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VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification

Alsehaim, A.; Breckon, T.P.

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Aishah Alsehaim
PGR Student Doctor of Philosophy


Video-based person Re-identification (Re-ID) has received increasing attention recently due to its important role within surveillance video analysis. Video-based Re- ID expands upon earlier image-based methods by extracting person features temporally across multiple video image frames. The key challenge within person Re-ID is extracting a robust feature representation that is invariant to the challenges of pose and illumination variation across multiple camera viewpoints. Whilst most contemporary methods use a CNN based methodology, recent advances in vision transformer (ViT) architectures boost fine-grained feature discrimination via the use of both multi-head attention without any loss of feature robustness. To specifically enable ViT architectures to effectively address the challenges of video person Re-ID, we propose two novel modules constructs, Temporal Clip Shift and Shuffled (TCSS) and Video Patch Part Feature (VPPF), that boost the robustness of the resultant Re-ID feature representation. Furthermore, we combine our proposed approach with current best practices spanning both image and video based Re-ID including camera view embedding. Our proposed approach outperforms existing state-of-the-art work on the MARS, PRID2011, and iLIDS-VID Re-ID benchmark datasets achieving 96.36%, 96.63%, 94.67% rank-1 accuracy respectively and achieving 90.25% mAP on MARS.


Alsehaim, A., & Breckon, T. (2022). VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification.

Conference Name BMVC 2022: The 33rd British Machine Vision Conference
Conference Location London, UK
Start Date Nov 21, 2022
End Date Nov 24, 2022
Acceptance Date Sep 30, 2022
Online Publication Date Nov 21, 2022
Publication Date 2022-11
Deposit Date Oct 13, 2022
Publicly Available Date Nov 24, 2022
Publisher URL


Published Conference Proceeding (2 Mb)

Copyright Statement
© 2022. The copyright of this document resides with its authors.
It may be distributed unchanged freely in print or electronic forms.

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