Filters








5,613 Hits in 7.4 sec

Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification [article]

Shijie Yu and Dapeng Chen and Rui Zhao and Haobin Chen and Yu Qiao
2021 arXiv   pre-print
Person images captured by surveillance cameras are often occluded by various obstacles, which lead to defective feature representation and harm person re-identification (Re-ID) performance.  ...  Specifically, we first introduce a visible part-based feature by body mask for each person image.  ...  Experimental results verified the effectiveness of our method on occluded person Re-ID.  ... 
arXiv:2105.07345v1 fatcat:uigjnaawqvehlmhfmfft3uw5lq

Attention-Aware Adversarial Network for Person Re-Identification

Aihong Shen, Huasheng Wang, Junjie Wang, Hongchen Tan, Xiuping Liu, Junjie Cao
2019 Applied Sciences  
Person re-identification (re-ID) is a fundamental problem in the field of computer vision. The performance of deep learning-based person re-ID models suffers from a lack of training data.  ...  First, a baseline classification network is trained for person re-ID.  ...  Acknowledgments: The authors would like to thank all the reviewers for their valuable comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9081550 fatcat:zyjat2y3ezbvdo3ogd546u7rsi

Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer [article]

Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi
2021 arXiv   pre-print
Occluded person re-identification is a challenging task as human body parts could be occluded by some obstacles (e.g. trees, cars, and pedestrians) in certain scenes.  ...  Extensive experiments over five challenging datasets for two tasks (occluded and holistic Re-ID) demonstrate that our proposed PFD is superior promising, which performs favorably against state-of-the-art  ...  Mask-guided contrastive attention model for person re- Relation-aware global attention for person re-identification. identification.  ... 
arXiv:2112.02466v2 fatcat:37hftouzwrfivpugzvqvfqrwkm

Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians [article]

Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun
2020 arXiv   pre-print
In the conventional person Re-ID setting, it is widely assumed that cropped person images are for each individual.  ...  Our method is evaluated on two new pedestrian-interference datasets and the results show that the proposed method performs favorably against existing Re-ID methods.  ...  [41] propose a self-supervision model called Visibility-aware Part Model (VPM), which can perceive the visibility of regions. Fan et al.  ... 
arXiv:2008.06963v1 fatcat:ri2ti5xpi5datgewihqxu43l6u

Attention-Aware Compositional Network for Person Re-identification [article]

Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang
2018 arXiv   pre-print
Person re-identification (ReID) is to identify pedestrians observed from different camera views based on visual appearance.  ...  In this work, we introduce a novel framework called Attention-Aware Compositional Network (AACN) for person ReID.  ...  Based on above motivations, a new Attention-Aware Compositional Network for person re-identification is proposed.  ... 
arXiv:1805.03344v2 fatcat:ciqqzd4mqjcevgpjejk4ezti6y

Attention-Aware Compositional Network for Person Re-identification

Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Person re-identification (ReID) is to identify pedestrians observed from different camera views based on visual appearance.  ...  In this work, we introduce a novel framework called Attention-Aware Compositional Network (AACN) for person ReID.  ...  Based on above motivations, a new Attention-Aware Compositional Network for person re-identification is proposed.  ... 
doi:10.1109/cvpr.2018.00226 dblp:conf/cvpr/Xu00WO18 fatcat:ac2nvw2lhfazpmdit6w53ovyoq

Focus on the Visible Regions: Semantic-Guided Alignment Model for Occluded Person Re-Identification

Qin Yang, Peizhi Wang, Zihan Fang, Qiyong Lu
2020 Sensors  
These maps show which regions of images are occluded, and the model automatically crops images to preserve the visible parts.  ...  However, many previous pedestrian re-identification (Re-ID) methods ignore this problem.  ...  Conclusions In this paper, we propose a model for the occluded person Re-ID problem: SGAM.  ... 
doi:10.3390/s20164431 pmid:32784411 fatcat:4zvxf4vz7ng7foci2icdtte7fm

Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification [article]

Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun Zha
2021 arXiv   pre-print
Occluded person re-identification (ReID) aims to match person images with occlusion.  ...  The SAB encourages different channel groups to focus on different body parts to have body part semantics aligned representation.  ...  RELATED WORKS Occluded/Partial Person Re-identification. Occluded person ReID [60] aims to match person images of both occluded/partial person and holistic person. Zheng et al.  ... 
arXiv:2108.00139v2 fatcat:25vp4gvzebhujkhymda5y3v3ui

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification [article]

Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun
2020 arXiv   pre-print
Occluded person re-identification (ReID) aims to match occluded person images to holistic ones across dis-joint cameras.  ...  At first, we use a CNN backbone and a key-points estimation model to extract semantic local features. Even so, occluded images still suffer from occlusion and outliers.  ...  Occluded Person Re-identification. Given occluded probe images, occluded person re-identification [48] aims to find the same person of full-body appearance in dis-joint Figure 2 .  ... 
arXiv:2003.08177v4 fatcat:qebat4cnw5fr3auusgom3ibany

Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends [article]

Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz
2022 arXiv   pre-print
Person re-identification (Re-ID) is one of the primary components of an automated visual surveillance system.  ...  For the first time a survey of this type have been presented where the person re-Id approaches are reviewed in such solution-oriented perspective.  ...  Datasets and performance evaluation Several image based and video based datasets for person re-identification models has been released.  ... 
arXiv:2202.13121v1 fatcat:luwwbcwspndqpauj4dosmmojee

Feature Completion for Occluded Person Re-Identification [article]

Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen
2021 arXiv   pre-print
Person re-identification (reID) plays an important role in computer vision. However, existing methods suffer from performance degradation in occluded scenes.  ...  In this work, we propose an occlusion-robust block, Region Feature Completion (RFC), for occluded reID.  ...  INTRODUCTION Person re-identification (reID) aims at re-identifying a target person across multiple non-overlapped cameras.  ... 
arXiv:2106.12733v1 fatcat:fmlr7rv7xfdd7cfswrxisjrpz4

ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID [article]

Chaoping Tu, Yin Zhao, Longjun Cai
2020 arXiv   pre-print
Person re-identification (re-ID) is a challenging task in real-world.  ...  We construct a new re-ID dataset based on content videos with many cases of occlusion and body part missing, which will be released in future.  ...  on partial and occluded person re-ID.  ... 
arXiv:2007.04644v1 fatcat:nezftydalfgqha5s3wttu2mv5i

Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identification [article]

Zhiyuan Chen, Annan Li, Shilu Jiang, Yunhong Wang
2020 arXiv   pre-print
Video-based person re-identification (Re-ID) is an important computer vision task.  ...  To achieve a complete model of video-based person Re-ID, a multi-task framework with Attribute-driven Spatio-Temporal Attention (ASTA) mechanism is also proposed.  ...  The attribute information has also been widely used for improving the performance of person re-identification.  ... 
arXiv:2006.07597v1 fatcat:rrgd624rxzb75cmo6pwwzs6vty

State-aware Re-identification Feature for Multi-target Multi-camera Tracking [article]

Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang
2019 arXiv   pre-print
Recently, the tracking performance of MTMCT is significantly enhanced with the employment of re-identification (Re-ID) model.  ...  Directly applying Re-ID model in MTMCT will encounter the problem of identity switches (IDS) and tracklet fragment caused by occlusion.  ...  Recently, re-identification (Re-ID) model is widely adopted as a discriminative appearance descriptor.  ... 
arXiv:1906.01357v1 fatcat:h57d6oa4ebdyrd7hntujcpbkyq

Masked Face Recognition Using Deep Learning: A Review

Ahmad Alzu'bi, Firas Albalas, Tawfik AL-Hadhrami, Lojin Bani Bani Younis, Amjad Bashayreh
2021 Electronics  
Machine learning has made progress in MFR and has significantly facilitated the intelligent process of detecting and authenticating persons with occluded faces.  ...  A large number of intelligent models for masked face recognition (MFR) has been recently presented and applied in various fields, such as masked face tracking for people safety or secure authentication  ...  Acknowledgments: The authors would like to thank Jordan University of Science and Technology for supporting this research work under grant No. 20210166.  ... 
doi:10.3390/electronics10212666 fatcat:4j3p2it4prd7tk7spurenne2uq
« Previous Showing results 1 — 15 out of 5,613 results