WO2024012607A3 - Personnel detection method and apparatus, device, and storage medium - Google Patents

Personnel detection method and apparatus, device, and storage medium Download PDF

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Publication number
WO2024012607A3
WO2024012607A3 PCT/CN2023/118908 CN2023118908W WO2024012607A3 WO 2024012607 A3 WO2024012607 A3 WO 2024012607A3 CN 2023118908 W CN2023118908 W CN 2023118908W WO 2024012607 A3 WO2024012607 A3 WO 2024012607A3
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WO
WIPO (PCT)
Prior art keywords
detection
personnel
image
undergo
model
Prior art date
Application number
PCT/CN2023/118908
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French (fr)
Chinese (zh)
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WO2024012607A2 (en
Inventor
张福
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顺丰科技有限公司
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Publication date
Application filed by 顺丰科技有限公司 filed Critical 顺丰科技有限公司
Publication of WO2024012607A2 publication Critical patent/WO2024012607A2/en
Publication of WO2024012607A3 publication Critical patent/WO2024012607A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/72—Data preparation, e.g. statistical preprocessing of image or video features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Image Analysis (AREA)

Abstract

The invention discloses a personnel detection method and apparatus, a device, and a storage medium. An embodiment comprises: upon collecting an image to undergo detection in a target site, inputting the image to undergo detection into a feature extraction layer of a preset personnel detection model and performing feature extraction to obtain a feature map corresponding to the image to undergo detection; and inputting the feature map corresponding to the image to undergo detection into a prediction layer of the personnel detection model and performing result prediction to obtain a personnel detection result for the image to undergo detection. The personnel detection model is obtained by acquiring detection results on test images of the target site by a pre-trained detection model and recognition results on the test images by a pre-stored detection reference model, and then training the pre-trained detection model on the basis of the recognition results and the detection results, thereby improving the detection accuracy of the personnel detection model.
PCT/CN2023/118908 2022-07-14 2023-09-14 Personnel detection method and apparatus, device, and storage medium WO2024012607A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210834085.8 2022-07-14
CN202210834085.8A CN117475463A (en) 2022-07-14 2022-07-14 Personnel detection method, device, equipment and storage medium

Publications (2)

Publication Number Publication Date
WO2024012607A2 WO2024012607A2 (en) 2024-01-18
WO2024012607A3 true WO2024012607A3 (en) 2024-04-04

Family

ID=89535670

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2023/118908 WO2024012607A2 (en) 2022-07-14 2023-09-14 Personnel detection method and apparatus, device, and storage medium

Country Status (2)

Country Link
CN (1) CN117475463A (en)
WO (1) WO2024012607A2 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109961014A (en) * 2019-02-25 2019-07-02 中国科学院重庆绿色智能技术研究院 A kind of coal mine conveying belt danger zone monitoring method and system
US20200175384A1 (en) * 2018-11-30 2020-06-04 Samsung Electronics Co., Ltd. System and method for incremental learning
CN113569882A (en) * 2020-04-28 2021-10-29 上海舜瞳科技有限公司 Knowledge distillation-based rapid pedestrian detection method
WO2022083157A1 (en) * 2020-10-22 2022-04-28 北京迈格威科技有限公司 Target detection method and apparatus, and electronic device
WO2022109922A1 (en) * 2020-11-26 2022-06-02 广州视源电子科技股份有限公司 Image matting implementation method and apparatus, and device and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200175384A1 (en) * 2018-11-30 2020-06-04 Samsung Electronics Co., Ltd. System and method for incremental learning
CN109961014A (en) * 2019-02-25 2019-07-02 中国科学院重庆绿色智能技术研究院 A kind of coal mine conveying belt danger zone monitoring method and system
CN113569882A (en) * 2020-04-28 2021-10-29 上海舜瞳科技有限公司 Knowledge distillation-based rapid pedestrian detection method
WO2022083157A1 (en) * 2020-10-22 2022-04-28 北京迈格威科技有限公司 Target detection method and apparatus, and electronic device
WO2022109922A1 (en) * 2020-11-26 2022-06-02 广州视源电子科技股份有限公司 Image matting implementation method and apparatus, and device and storage medium

Also Published As

Publication number Publication date
CN117475463A (en) 2024-01-30
WO2024012607A2 (en) 2024-01-18

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