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Cross-modality person re-identification人员重识别（person Re-ID），是视频监控中的一个重要问题，其目的是在摄像机视点上匹配行人的即时信息，目前，大多应用于RGB图像中，但例如在黑暗环境中，这样是远远不够的，在许多视觉系统中，红外成像是必不可少的。为此，需要将RGB图像与红外图像进行匹配，而红外图像是异构的，具有非常不同的视觉特征。对于人员重识别来说，这是一个非常具有挑战性的跨模态问题。目前已有的跨模态行人重识别大致有如下四个方向：低分辨、近红外、素描和文本。其任务是主要分两个子任务，一个是减少模态间的差异，通过在两个不同模态中寻找出具有同一个身份的人，另一个是单模态ReID任务，即在RGB图像或者红外图像内部通过对身份的约束找到同一个身份的人。
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Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification
Mang Ye,Xiangyuan Lan,Zheng Wang,Pong C. Yuen
IEEE Transactions on Information Forensics and Security, (2020): 407-419
Visible thermal person re-identification (VT-REID) is a task of matching person images captured by thermal and visible cameras, which is an extremely important issue in night-time surveillance applications. Existing cross-modality recognition works mainly focus on learning sharab...
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Cited by35BibtexViews36Links
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Illumination-adaptive person re-identification
Zelong Zeng, Zhixiang Wang,Zheng Wang,Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh
IEEE Transactions on Multimedia, (2020)
Methods
Conclusion
We show the ability of the proposed Identity Disentanglement network
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Cited by7BibtexViews18Links
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Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Mang Ye,Jianbing Shen,David J. Crandall,Ling Shao,Jiebo Luo
european conference on computer vision, pp.229-247, (2020)
Methods
Conclusion
We present a dynamic dual-attentive aggregation learning framework for visible-infrared person re-identification
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Cited by1BibtexViews57Links
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Cross-modality Person re-identification with Shared-Specific Feature Transfer
Lu Yan,Wu Yue,Liu Bin,Zhang Tianzhu,Li Baopu, Chu Qi,Yu Nenghai
CVPR, pp.13376-13386, (2020)
Methods
Conclusion
We proposed a cross-modality sharedspecific feature transfer algorithm for cross-modality person ReID, which can utilize the specific features ignored by conventionally shared feature learning
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Cited by0BibtexViews80Links
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Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System
Xiangyuan Lan,Mang Ye,Rui Shao,Bineng Zhong,Pong C. Yuen,Huiyu Zhou
IEEE Transactions on Industrial Electronics, pp.1-1, (2019)
With a large number of video surveillance systems installed for the requirement from industrial security, the task of object tracking, which aims to locate objects of interest in videos, is very important. Although numerous tracking algorithms for RGB videos have been developed i...
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Cited by52BibtexViews44Links
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Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
Zhixiang Wang,Zheng Wang,Yinqiang Zheng,Yung-Yu Chuang,Shin'ichi Satoh
CVPR, pp.618-626, (2019)
Methods
Conclusion
We present Dual-level Discrepancy Reduction Learning network for the Infrared-Visible person REIDentification task that exhibits both modality discrepancy and appearance discrepancy
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Cited by34BibtexViews22Links
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A Survey of Open-World Person Re-identification
Qingming Leng,Mang Ye,Qi Tian
IEEE Transactions on Circuits and Systems for Video Technology, pp.1-1, (2019)
Person re-identification (re-ID) has been a popular topic in computer vision and pattern recognition communities for a decade. Several important milestones such as metric-based and deeply-learned re-ID in recent years have promoted this topic. However, most of existing re-ID work...
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Cited by23BibtexViews18
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Online Non-Negative Multi-Modality Feature Template Learning for RGB-Assisted Infrared Tracking
Xiangyuan Lan,Mang Ye,Rui Shao,Bineng Zhong, Deepak Kumar Jain,Huiyu Zhou
IEEE Access, (2019): 67761-67771
Methods
Conclusion
Infrared sensors have been employed in many video surveillance systems for security monitoring, traffic management, etc..The past
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Cited by13BibtexViews48Links
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Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
Choi Seokeon, Lee Sumin,Kim Youngeun,Kim Taekyung,Kim Changick
CVPR, pp.10254-10263, (2019)
Methods
Conclusion
We have proposed a novel hierarchical cross-modality disentanglement method for Visible-infrared person re-identification
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Cited by3BibtexViews16Links
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Cross-View Person Identification based on Confidence-weighted Human Pose Matching
Guoqiang Liang,Xuguang Lan,Xingyu Chen,Kang Zheng,Song Wang,Nanning Zheng
IEEE Transactions on Image Processing, no. 8 (2019): 3821-3835
Cross-view person identification (CVPI) from multiple temporally synchronized videos taken by multiple wearable cameras from different, varying views is a very challenging but important problem, which has attracted more interest recently. Current state-of-the-art performance of C...
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Cited by2BibtexViews40Links
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Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification
Zheng Wang, Zhixiang Wang, Yang Wu, Jingdong Wang,Shin'ichi Satoh
arXiv: Computer Vision and Pattern Recognition, (2019)
Methods
Conclusion
When only one ground truth exists in the gallery, or we are caring about the true matches ranking in top positions of the returning list, the Cumulative Matching Characteristics curve is an acceptable selection
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Cited by0BibtexViews12Links
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Person Re-Identification between Visible and Thermal Camera Images Based on Deep Residual CNN Using Single Input
Jin Kyu Kang, Toan Minh Hoang,Kang Ryoung Park
IEEE Access, pp.1-1, (2019)
Methods
Conclusion
The method of combining the multi-scale Retinex with one stream network based on the IPVT-1, IPVT-2, and IIPVT demonstrated superior performance compared to other conventional person ReID methods based on a multimodal camera
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Cited by0BibtexViews9Links
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Fast RGB-T Tracking via Cross-Modal Correlation Filters
Sulan Zhai, Pengpeng Shao, Xinyan Liang,Xin Wang
Neurocomputing, (2019): 172-181
This paper studies how to perform RGB-T object tracking in the correlation filter framework. Given the input RGB and thermal videos, we utilize the correlation filter for each modality due to its high performance in both of accuracy and speed. To take the interdependency between ...
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Cited by0BibtexViews7Links
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HPILN: A feature learning framework for cross-modality person re-identification
Jian-Wu Lin, Hao Li
CoRR, (2019)
Conclusion
This paper addresses RGB-IR Re-ID by a feature learning framework based on hard pentaplet loss and identity loss as shown in Fig
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Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking
Mang Ye,Zheng Wang,Xiangyuan Lan,Pong C. Yuen
IJCAI, pp.1092-1099, (2018)
Methods
Conclusion
To address the large cross-modality variations, a bi-directional cross-modality constrained top-ranking loss is employed to enhance the discriminability of the learnt feature representation
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Cited by74BibtexViews37Links
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Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification
Mang Ye,Xiangyuan Lan,Jiawei Li,Pong C. Yuen
AAAI, (2018)
Methods
Conclusion
This paper investigates a cross-modal person reidentification problem, which is an important issue for many specific practical surveillance applications
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Cited by63BibtexViews18Links
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Cross-Modality Person Re-Identification with Generative Adversarial Training
Pingyang Dai,Rongrong Ji,Haibin Wang,Qiong Wu, Yuyu Huang
IJCAI, pp.677-683, (2018)
Methods
Conclusion
We propose a novel cross-modality generative adversarial network to learn discriminative common representations for RGB-IR person re-identification problem, which is formulated as cross-modality problem
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Cited by53BibtexViews18Links
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Modality-Correlation-Aware Sparse Representation for RGB-Infrared Object Tracking
Xiangyuan Lan,Mang Ye,Shengping Zhang,Huiyu Zhou,Pong Chi Yuen
Pattern Recognit. Lett., (2018): 12-20
Abstract To intelligently analyze and understand video content, a key step is to accurately perceive the motion of the interested objects in videos. To this end, the task of object tracking, which aims to determine the position and status of the interested object in consecutive...
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Cited by50BibtexViews31
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Robust Collaborative Discriminative Learning for RGB-Infrared Tracking
Xiangyuan Lan,Mang Ye,Shengping Zhang,Pong C. Yuen
AAAI, (2018)
Conclusion
Even if some unreliable modality exists under some scenarios, the impact of such kind of modality would be suppressed, and the importance of reliable modality would be enhanced for more effective modality fusion
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Cited by41BibtexViews51Links
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Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification
Zheng Wang,Mang Ye,Fan Yang,Xiang Bai,Shin'ichi Satoh
IJCAI, pp.3891-3897, (2018)
Methods
Conclusion
This paper focuses on a new issue, i.e., scale-adaptive low resolution person re-identification
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Cited by37BibtexViews33Links
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Keywords
CamerasFeature ExtractionTask AnalysisBidirectional ControlComputational ModelingCorrelationCorrelation FiltersCross-ModalFace RecognitionLow-Rank
Authors
Mang Ye
Mang Ye
Paper 10
Zheng Wang
Zheng Wang
Paper 8
Xiangyuan Lan
Xiangyuan Lan
Paper 7
Pong C. Yuen
Pong C. Yuen
Paper 5
Shin'Ichi Satoh
Shin'Ichi Satoh
Paper 3
Huiyu Zhou
Huiyu Zhou
Paper 3
Yi Yu
Yi Yu
Paper 2
Yinqiang Zheng
Yinqiang Zheng
Paper 2
Ruimin Hu
Ruimin Hu
Paper 2
Bineng Zhong
Bineng Zhong
Paper 2
IJCAI 2020cvpr2020Papers, Authors, Comments