Results 51 to 60 of about 1,051,305 (274)
Part‐level attention networks for cross‐domain person re‐identification
IET Image Processing, 2021 Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accuracy, poor ...
Qun Zhao +9 more
doaj +1 more source
Person Re-Identification with Vision and Language [PDF]
2018 24th International Conference on Pattern Recognition (ICPR), 2018 In this paper we propose a new approach to person re-identification using images and natural language descriptions. We propose a joint vision and language model based on CCA and CNN architectures to match across the two modalities as well as to enrich visual examples for which there are no language descriptions. We also introduce new annotations in the
Krystian Mikolajczyk +2 more
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Feature Completion for Occluded Person Re-Identification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 18 pages, 17 figures. The paper is accepted by TPAMI, and the code is available at https://github.com/blue-blue272/OccludedReID ...
Xinqian Gu +5 more
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Weakly Supervised Person Re-Identification [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 to appear at ...
Jingke Meng, Wei-Shi Zheng, Sheng Wu
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PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification
, 2017 Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although there has been much progress in person re-identification over the last decade, it remains a challenging task because ...
Cho, Yeong-Jun, Yoon, Kuk-Jin
core +1 more source
Person re-identification by robust canonical correlation analysis [PDF]
, 2015 Person re-identification is the task to match people in surveillance cameras at different time and location. Due to significant view and pose change across non-overlapping cameras, directly matching data from different views is a challenging issue to ...
An, L, Bhanu, B, Yang, S
core +2 more sources
Multi‐stage attention network for video‐based person re‐identification
IET Computer Vision, 2022 Video‐based person re‐identification (Re‐ID) has received increasing attention in video surveillance analysis in recent years. To extract relevant information of the target, many existing methods utilise the attention mechanism in the residual block of ...
Fan Yang +4 more
doaj +1 more source
Multi‐directional saliency metric learning for person re‐identification
IET Computer Vision, 2016 A multi‐directional salience based similarity evaluation for person re‐identification (re‐id) is presented. After distribution analysis for salience consistency between image pairs, a similarity between matched patches is established by weighted fusion ...
Ying Chen, Zhonghua Huo, Chunjian Hua
doaj +1 more source
Spatial-Temporal Person Re-Identification
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Most of current person re-identification (ReID) methods neglect a spatial-temporal constraint. Given a query image, conventional methods compute the feature distances between the query image and all the gallery images and return a similarity ranked table.
Peigen Huang +3 more
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Cluster Loss for Person Re-Identification [PDF]
Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing, 2018 Person re-identification (ReID) is an important problem in computer vision, especially for video surveillance applications. The problem focuses on identifying people across different cameras or across different frames of the same camera. The main challenge lies in identifying the similarity of the same person against large appearance and structure ...
Subrat Panda +3 more
openaire +3 more sources