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Attention driven person re-identification [PDF]
Pattern Recognition, 2019 Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc. It has been studied extensively in recent years, but the multifarious local and global features are still not fully exploited by either ignoring the interplay between whole-body images and body-part images or missing in-depth ...
Fan Yang 0053 +5 more
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Unsupervised learning of generative topic saliency for person re-identification [PDF]
, 2014 (c) 2014. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.© 2014. The copyright of this document resides with its authors.
Wang, H +5 more
core +1 more source
Re-Identification for Improved People Tracking [PDF]
, 2014 Re-identification is usually defined as the problem of deciding whether a person currently in the field of view of a camera has been seen earlier either by that camera or another.
Fua, Pascal +5 more
core +1 more source
Person Re-Identification by Saliency Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Human eyes can recognize person identities based on small salient regions, i.e. human saliency is distinctive and reliable in pedestrian matching across disjoint camera views. However, such valuable information is often hidden when computing similarities of pedestrian images with existing approaches.
Rui Zhao 0001 +2 more
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Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation
IEEE Access, 2018 Existing person re-identification (re-id) datasets only consist of pedestrian images, which are far more behind what the real surveillance system holds.
Yuan Yuan, Jian'an Zhang, Qi Wang
doaj +1 more source
Open-world Person Re-Identification by Multi-Label Assignment Inference. [PDF]
, 2014 (c) 2014. The copyright of this document resides with its authors.
Brais Cancela +5 more
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Person Search via Deep Integrated Networks
Applied Sciences, 2019 This study proposes an integrated deep network consisting of a detection and identification module for person search. Person search is a very challenging problem because of the large appearance variation caused by occlusion, background clutter, pose ...
Ju-Chin Chen +3 more
doaj +1 more source
AL-DDCNN : a distributed crossing semantic gap learning for person re-identification [PDF]
, 2017 By the reason of the variability of light and pedestrians’ appearance, it is hard for a camera to obtain a clear human figure. Person re-identification with different cameras is a difficult visual recognition task.
Qi, M., Cheng, K., Zhan, Y.
core +1 more source
Modeling Unknown Class Centers for Metric Learning on Person Re-Identification
IEEE Access, 2018 Metric learning is one of the major methods for person re-identification. Most existing metric learning methods for person re-identification first generate the pairwise constraints where the sample pairs with the same labels consist of the positive set ...
Yuan Yuan, Jian'an Zhang, Qi Wang
doaj +1 more source
Person Re-identification Based on Feature Location and Fusion [PDF]
Jisuanji kexue, 2022 Pedestrian appearance attributes are important semantic information distinguishing pedestrian differences.Pedestrian attribute recognition plays a vital role in intelligent video surveillance,which can help us quickly screen and retrieve target ...
YANG Xiao-yu, YIN Kang-ning, HOU Shao-qi, DU Wen-yi, YIN Guang-qiang
doaj +1 more source