Illumination Unification for Person Re-Identification

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 10; pp. 6766 - 6777
• Main Authors: Zhang, Guoqing, Luo, Zhiyuan, Chen, Yuhao, Zheng, Yuhui, Lin, Weisi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cameras; Datasets; Effectiveness; generative adversarial network; Illumination; illumination-adaptive; Image reconstruction; Image restoration; Lighting; Pedestrians; Person re-identification; Retrieval; Source code; Task analysis; Testing; Training
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/TCSVT.2022.3169422

The performance of person re-identification (re-ID) is easily affected by illumination variations caused by different shooting times, places and cameras. Existing illumination-adaptive methods usually require annotating cross-camera pedestrians on each illumination scale, which is unaffordable for a...