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  2020, Vol. 33 Issue (12): 1066-1082    DOI: 10.16451/j.cnki.issn1003-6059.202012002
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A Survey on Cross-Modality Heterogeneous Person Re-identification
SUN Rui1,2, ZHAO Zhenghui1,2, YANG Zi1,2, GAO Jun1,2
1. School of Computer Science and Information Engineering,Hefei University of Technology,Hefei 230601;
2. Intelligent Interconnected Systems Laboratory of Anhui Province,Hefei University of Technology,Hefei 230009

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Abstract  

Homogeneous person re-identification(ReID) based on RGB images is well researched.With the development of public security and pedestrian retrieval in complex real-world situations,the field of pedestrian matching based on multi-modal heterogeneous data sources,called cross-modality heterogeneous ReID,is explored.In this paper,heterogeneous ReID and the differences from homogeneous ReID are firstly summarized.Then,heterogeneous ReID is described under six types of scenarios,including text-to-image,images-to-video,cross-resolution,infrared-visible,RGB-depth and sketch-photo.The relevant popular datasets,representative algorithms and excellent performance of these algorithms on datasets are summarized and reorganized.Finally,the current research progress and the future research trends of cross-modality heterogeneous person re-identification are discussed.

Key wordsPerson Re-identification(ReID)      Heterogeneous Person Re-identification(Hetero-ReID)      Cross-Modality      Metric Learning      Feature Representation      Deep Learning     
Received: 13 October 2020     
Fund:

General Project of National Natural Science Foundation of China(No.61471154,61876057),Key Research and Development Plan of Anhui Province(No.202004D07020012)

Corresponding Authors: SUN Rui,Ph.D.,professor.His research interests include computer vision and machine learning.   
About author:: ZHAO Zhenghui,master student.Her research interests include image information processing and computer vision;YANG Zi,master student.Her research interests include image information processing and computer vision;GAO Jun,Ph.D.,professor.His research interests include intelligent information processing and machine vision.
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SUN Rui
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SUN Rui,ZHAO Zhenghui,YANG Zi等. A Survey on Cross-Modality Heterogeneous Person Re-identification[J]. , 2020, 33(12): 1066-1082.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202012002      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2020/V33/I12/1066
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