Person Re-Identification Yiheng Liu Outli line Background - - PowerPoint PPT Presentation

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Person Re-Identification Yiheng Liu Outli line Background - - PowerPoint PPT Presentation

Feb 11, 2023 101 likes •377 views

Person Re-Identification Yiheng Liu Outli line Background Image-Based Person Re-Identification Partial Person Re-identification Video-Based Person Re-Identification Our Methods Outli line Background Image-Based

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Person Re-Identification

Yiheng Liu

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SLIDE 2

Outli line

  • Background
  • Image-Based Person Re-Identification
  • Partial Person Re-identification
  • Video-Based Person Re-Identification
  • Our Methods
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Outli line

  • Background
  • Image-Based Person Re-Identification
  • Partial Person Re-identification
  • Video-Based Person Re-Identification
  • Our Methods
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Person Re-id identif ification

  • Person re-identification aims to match persons across

non-overlapping surveillance camera views.

Images：https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/prid11/

数据 检测 跟踪 匹配

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Datasets and Protocols ls

Dataset ID Images Image Market1501 1501 32217 DukeMTMC-reID 1812 36441 CUHK03 1467 13164 MSMT17 4101 126441 Video iLIDS-VID 300 42495 PRID2011 934 24541 MARS 1261 1191003

  • Cumulated Matching Characteristics (CMC)：Rank-1, Rank-5
  • mean Average Precision (mAP)
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Outli line

  • Background
  • Image-Based Person Re-Identification
  • Partial Person Re-identification
  • Video-Based Person Re-Identification
  • Our Methods
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Learning Dis iscrim iminative Features wit ith Mult ltiple Granularitie ies for Person Re-Id Identification

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SLIDE 8
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Beyond Part Models ls: Person Retrie ieval l wit ith Refin ined Part Poolin ing (and A Strong Convolutional l Baseline)

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Refin ined Part Poolin ing

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Horiz izontal l Pyramid Matchin ing for Person Re-id identific ication

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Learning In Incremental Trip iple let Margin for Person Re-id identific ication

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Outli line

  • Background
  • Image-Based Person Re-Identification
  • Partial Person Re-identification
  • Video-Based Person Re-Identification
  • Our Methods
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Perceive Where to Focus: Learning Vis isibilit ity-aware Part-le level Features for Partial l Person Re-id identif ification

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Region feature: Overall distance:

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  • The training of region locator
  • Cross-entropy loss
  • Triplet loss
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Outli line

  • Background
  • Image-Based Person Re-Identification
  • Partial Person Re-identification
  • Video-Based Person Re-Identification
  • Our Methods
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STA: Spatial-Temporal l Attention for Large-Scale le Vid ideo-based Person Re-Id Identif ification

Inter-Frame Regularization

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Feature Fusion Strategy

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THANK YOU FOR LISTENING