Cross-domain Pedestrian Re-recognition Research by Fusing Pedestrian Detection Algorithms
Pages 383 - 388
Abstract
Pedestrian re-identification is a computer vision technique designed to identify the same pedestrian under different cameras, which is of great significance in fields such as public safety and intelligent transportation. In this paper, a pedestrian re-recognition model incorporating YOLOv7 target detection and pedestrian re-recognition algorithm is proposed. Firstly, a small target detection layer is added to the YOLOv7 detection algorithm, and a coordinate attention mechanism is added to the backbone network to improve the pedestrian detection capability. Cross-camera retrieval suffers from cross-domain problem, in this paper, by adding IBN-b module to the pedestrian re-recognition network, adding label smoothing strategy and removing random erasure during training, and using multiple datasets for co-training, and then verifying on Duke dataset, Rank-1 reaches 70.8% and mAP reaches 54.8%, which can meet the requirements of real scene applications.
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Index Terms
- Cross-domain Pedestrian Re-recognition Research by Fusing Pedestrian Detection Algorithms
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Published In
December 2023
1132 pages
ISBN:9798400716157
DOI:10.1145/3660043
Copyright © 2023 ACM.
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Published: 30 May 2024
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ICIEAI 2023
ICIEAI 2023: 2023 International Conference on Information Education and Artificial Intelligence
December 22 - 24, 2023
Xiamen, China
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