CN108399381B - 行人再识别方法、装置、电子设备和存储介质 - Google Patents

行人再识别方法、装置、电子设备和存储介质 Download PDF

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CN108399381B
CN108399381B CN201810145717.3A CN201810145717A CN108399381B CN 108399381 B CN108399381 B CN 108399381B CN 201810145717 A CN201810145717 A CN 201810145717A CN 108399381 B CN108399381 B CN 108399381B
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CN108399381A (zh
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陈大鹏
李鸿升
肖桐
伊帅
王晓刚
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Beijing Sensetime Technology Development Co Ltd
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Priority to JP2019570048A priority patent/JP6905601B2/ja
Priority to PCT/CN2018/116600 priority patent/WO2019153830A1/zh
Priority to SG11201913733QA priority patent/SG11201913733QA/en
Priority to KR1020197038764A priority patent/KR102348002B1/ko
Priority to US16/726,878 priority patent/US11301687B2/en
Priority to PH12020500050A priority patent/PH12020500050A1/en
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/469—Contour-based spatial representations, e.g. vector-coding
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/48—Matching video sequences
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/172—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
    • H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Image Analysis (AREA)
CN201810145717.3A 2018-02-12 2018-02-12 行人再识别方法、装置、电子设备和存储介质 Active CN108399381B (zh)

Priority Applications (7)

Application Number Priority Date Filing Date Title
CN201810145717.3A CN108399381B (zh) 2018-02-12 2018-02-12 行人再识别方法、装置、电子设备和存储介质
JP2019570048A JP6905601B2 (ja) 2018-02-12 2018-11-21 歩行者再認識方法、装置、電子機器および記憶媒体
PCT/CN2018/116600 WO2019153830A1 (zh) 2018-02-12 2018-11-21 行人再识别方法、装置、电子设备和存储介质
SG11201913733QA SG11201913733QA (en) 2018-02-12 2018-11-21 Pedestrian re-identification method and apparatus, electronic device, and storage medium
KR1020197038764A KR102348002B1 (ko) 2018-02-12 2018-11-21 보행자 재식별 방법, 장치, 전자 기기 및 저장 매체
US16/726,878 US11301687B2 (en) 2018-02-12 2019-12-25 Pedestrian re-identification methods and apparatuses, electronic devices, and storage media
PH12020500050A PH12020500050A1 (en) 2018-02-12 2020-01-06 Pedestrian re-identification method and apparatus, electronic device, and storage medium

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JP7229698B2 (ja) * 2018-08-20 2023-02-28 キヤノン株式会社 情報処理装置、情報処理方法及びプログラム
CN109344722B (zh) * 2018-09-04 2020-03-24 阿里巴巴集团控股有限公司 一种用户身份确定方法、装置及电子设备
CN109543537B (zh) * 2018-10-23 2021-03-23 北京市商汤科技开发有限公司 重识别模型增量训练方法及装置、电子设备和存储介质
CN110083742B (zh) * 2019-04-29 2022-12-06 腾讯科技（深圳）有限公司 一种视频查询方法和装置
CN110175527B (zh) * 2019-04-29 2022-03-25 北京百度网讯科技有限公司 行人再识别方法及装置、计算机设备及可读介质
US11062455B2 (en) * 2019-10-01 2021-07-13 Volvo Car Corporation Data filtering of image stacks and video streams
CN110827312B (zh) * 2019-11-12 2023-04-28 北京深境智能科技有限公司 一种基于协同视觉注意力神经网络的学习方法
CN111339849A (zh) * 2020-02-14 2020-06-26 北京工业大学 一种融合行人属性的行人重识别的方法
CN111339360B (zh) * 2020-02-24 2024-03-26 北京奇艺世纪科技有限公司 视频处理方法、装置、电子设备及计算机可读存储介质
CN111538861B (zh) * 2020-04-22 2023-08-15 浙江大华技术股份有限公司 基于监控视频进行图像检索的方法、装置、设备及介质
CN111723645B (zh) * 2020-04-24 2023-04-18 浙江大学 用于同相机内有监督场景的多相机高精度行人重识别方法
CN111539341B (zh) * 2020-04-26 2023-09-22 香港中文大学（深圳） 目标定位方法、装置、电子设备和介质
CN112001243A (zh) * 2020-07-17 2020-11-27 广州紫为云科技有限公司 一种行人重识别数据标注方法、装置及设备
CN111897993A (zh) * 2020-07-20 2020-11-06 杭州叙简科技股份有限公司 一种基于行人再识别的高效目标人物轨迹生成方法
CN112069952B (zh) * 2020-08-25 2024-10-15 北京小米松果电子有限公司 视频片段提取方法、视频片段提取装置及存储介质
CN112150514A (zh) * 2020-09-29 2020-12-29 上海眼控科技股份有限公司 视频的行人轨迹追踪方法、装置、设备及存储介质
CN112906483B (zh) * 2021-01-25 2024-01-23 中国银联股份有限公司 一种目标重识别方法、装置及计算机可读存储介质
CN113221641B (zh) * 2021-04-01 2023-07-07 哈尔滨工业大学（深圳） 基于生成对抗网络和注意力机制的视频行人重识别方法
CN113011395B (zh) * 2021-04-26 2023-09-01 深圳市优必选科技股份有限公司 一种单阶段动态位姿识别方法、装置和终端设备
CN113255598B (zh) * 2021-06-29 2021-09-28 南京视察者智能科技有限公司 一种基于Transformer的行人重识别方法
CN113780066B (zh) * 2021-07-29 2023-07-25 苏州浪潮智能科技有限公司 行人重识别方法、装置、电子设备及可读存储介质
CN114449345B (zh) * 2022-02-08 2023-06-23 腾讯科技（深圳）有限公司 视频处理方法、装置、设备及存储介质
CN115150663B (zh) * 2022-07-01 2023-12-15 北京奇艺世纪科技有限公司 热度曲线的生成方法、装置、电子设备及存储介质
US12388831B2 (en) 2022-09-19 2025-08-12 International Business Machines Corporation Role assignment for intelligent virtual assistants
CN117522454B (zh) * 2024-01-05 2024-04-16 北京文安智能技术股份有限公司 一种工作人员识别方法及系统
CN119152333B (zh) * 2024-11-13 2025-01-28 西北工业大学 一种基于提示学习的多模态目标重识别方法

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WO2019153830A1 (zh) 2019-08-15
JP2020525901A (ja) 2020-08-27
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CN108399381A (zh) 2018-08-14
US11301687B2 (en) 2022-04-12
SG11201913733QA (en) 2020-01-30
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