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Occluded Person Re-identification

arXiv 1804.02792 ↗First posted 9 Apr 2018cs.CV cs.AI cs.MMcited by 72

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Abstract (arXiv)

Person re-identification (re-id) suffers from a serious occlusion problem when applied to crowded public places. In this paper, we propose to retrieve a full-body person image by using a person image with occlusions. This differs significantly from the conventional person re-id problem where it is assumed that person images are detected without any occlusion. We thus call this new problem the occluded person re-identitification. To address this new problem, we propose a novel Attention Framework of Person Body (AFPB) based on deep learning, consisting of 1) an Occlusion Simulator (OS) which automatically generates artificial occlusions for full-body person images, and 2) multi-task losses that force the neural network not only to discriminate a person's identity but also to determine whether a sample is from the occluded data distribution or the full-body data distribution. Experiments on a new occluded person re-id dataset and three existing benchmarks modified to include full-body person images and occluded person images show the superiority of the proposed method.

Key facts. Cited by 72 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 15; 2022: 14; 2023: 14; 2024: 12; 2025: 13; 2026: 4.

72 papers.

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  1. 2021Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformercited by 119
  2. 2021Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularizationcited by 69
  3. 2021Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformercited by 68
  4. 2022Body Part-Based Representation Learning for Occluded Person Re-Identificationcited by 63
  5. 2021Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identificationcited by 44
  6. 2021Solving Inefficiency of Self-supervised Representation Learningcited by 41
  7. 2021Feature Erasing and Diffusion Network for Occluded Person Re-Identificationcited by 41
  8. 2021Feature Completion for Occluded Person Re-Identificationcited by 30
  9. 2022Dynamic Prototype Mask for Occluded Person Re-Identificationcited by 30
  10. 2024Transformer for Object Re-Identification: A Surveycited by 21
  11. 2023Region Generation and Assessment Network for Occluded Person Re-Identificationcited by 20
  12. 2021Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identificationcited by 19
38 more
  1. 2023Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identificationcited by 19
  2. 2022Quality-aware Part Models for Occluded Person Re-identificationcited by 17
  3. 2025From Poses to Identity: Training-Free Person Re-Identification via Feature Centralizationcited by 17
  4. 2023Multi-view Information Integration and Propagation for Occluded Person Re-identificationcited by 16
  5. 2024Keypoint Promptable Re-Identificationcited by 15
  6. 20221st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Resultscited by 14
  7. 2024A Versatile Framework for Multi-scene Person Re-identificationcited by 14
  8. 2025SapiensID: Foundation for Human Recognitioncited by 14
  9. 2023Occluded Person Re-Identification with Deep Learning: A Survey and Perspectivescited by 13
  10. 2022Deep Learning-based Occluded Person Re-identification: A Surveycited by 12
  11. 2022Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrievalcited by 12
  12. 2023Learning Feature Recovery Transformer for Occluded Person Re-identificationcited by 12
  13. 2021Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identificationcited by 11
  14. 2023Video-based Visible-Infrared Person Re-Identification with Auxiliary Samplescited by 11
  15. 2021Learning to Disentangle Scenes for Person Re-identificationcited by 10
  16. 2021Holistic Guidance for Occluded Person Re-Identificationcited by 9
  17. 2023Feature Completion Transformer for Occluded Person Re-identificationcited by 9
  18. 2021Semi-Supervised Domain Generalizable Person Re-Identificationcited by 8
  19. 2024MLLMReID: Multimodal Large Language Model-based Person Re-identificationcited by 8
  20. 2021Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identificationcited by 7
  21. 2022Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identificationcited by 7
  22. 2023Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identificationcited by 7
  23. 2023Whole-body Detection, Recognition and Identification at Altitude and Rangecited by 7
  24. 2023Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identificationcited by 6
  25. 2023PersonMAE: Person Re-Identification Pre-Training with Masked AutoEncoderscited by 6
  26. 2022E-Scooter Rider Detection and Classification in Dense Urban Environmentscited by 5
  27. 2022Parallel Augmentation and Dual Enhancement for Occluded Person Re-identificationcited by 5
  28. 2023You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awarenesscited by 5
  29. 2024Diverse Representation Embedding for Lifelong Person Re-Identificationcited by 5
  30. 2024Part-Attention Based Model Make Occluded Person Re-Identification Strongercited by 5
  31. 2024Domain Consistency Representation Learning for Lifelong Person Re-Identificationcited by 4
  32. 2022Short Range Correlation Transformer for Occluded Person Re-Identificationcited by 3
  33. 2024Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identificationcited by 3
  34. 2025NOOUGAT: Towards Unified Online and Offline Multi-Object Trackingcited by 3
  35. 2022Motion-Aware Transformer For Occluded Person Re-identificationcited by 2
  36. 2022The Impact of Partial Occlusion on Pedestrian Detectabilitycited by 2
  37. 2025Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identificationcited by 2
  38. 2025SCING:Towards More Efficient and Robust Person Re-Identification through Selective Cross-modal Prompt Tuningcited by 2

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