CN110431560A - 目标人物的搜索方法和装置、设备、程序产品和介质 - Google Patents

目标人物的搜索方法和装置、设备、程序产品和介质 Download PDF

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CN110431560A
CN110431560A CN201880018948.6A CN201880018948A CN110431560A CN 110431560 A CN110431560 A CN 110431560A CN 201880018948 A CN201880018948 A CN 201880018948A CN 110431560 A CN110431560 A CN 110431560A
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pedestrian
face
feature data
template
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CN110431560B (zh
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田茂清
伊帅
闫俊杰
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Shenzhen Sensetime Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5838Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/757Matching configurations of points or features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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    • G06V20/50Context or environment of the image
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/165Detection; Localisation; Normalisation using facial parts and geometric relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • G06V40/171Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering

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Abstract

本申请实施例提供了一种目标人物的搜索方法和装置、设备、程序产品和介质,提高了目标人物搜索的准确率。其中,所述方法包括:获取目标人物的图像;利用所述目标人物的图像,搜索人脸图像库,得到与所述目标人物的图像匹配的第一人脸图像模板,其中,所述人脸图像库包括多个人脸图像模板;根据所述第一人脸图像模板和行人图像库,得到与所述目标人物的图像匹配的至少一个目标行人图像模板,其中,所述行人图像库包括多个行人图像模板。

Description

PCT国内申请,说明书已公开。

Claims (41)

  1. PCT国内申请,权利要求书已公开。
CN201880018948.6A 2017-11-28 2018-10-29 目标人物的搜索方法和装置、设备和介质 Active CN110431560B (zh)

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Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107516105B (zh) * 2017-07-20 2020-06-16 阿里巴巴集团控股有限公司 图像处理方法及装置
CN108229314B (zh) 2017-11-28 2021-05-04 深圳市商汤科技有限公司 目标人物的搜索方法、装置和电子设备
CN108924491B (zh) * 2018-07-04 2020-08-25 深圳市商汤科技有限公司 视频流处理方法及装置、电子设备和存储介质
CN110851636B (zh) * 2018-07-24 2023-05-02 杭州海康威视数字技术股份有限公司 一种图像搜索系统、方法及装置
CN109359570A (zh) * 2018-09-30 2019-02-19 广东司法警官职业学院 一种视频人物鉴定的方法
CN110263830B (zh) * 2019-06-06 2021-06-08 北京旷视科技有限公司 图像处理方法、装置和系统及存储介质
CN110852269B (zh) * 2019-11-11 2022-05-20 青岛海信网络科技股份有限公司 一种基于特征聚类的跨镜头人像关联分析方法及装置
CN111159476B (zh) * 2019-12-11 2022-12-16 智慧眼科技股份有限公司 目标对象的搜索方法、装置、计算机设备及存储介质
CN111767783A (zh) * 2020-04-22 2020-10-13 杭州海康威视数字技术股份有限公司 行为检测、模型训练方法、装置、电子设备及存储介质
CN114092955A (zh) * 2020-07-29 2022-02-25 华为技术有限公司 数据库更新方法、设备以及存储介质
CN114554137A (zh) * 2020-11-24 2022-05-27 京东方科技集团股份有限公司 区域管控方法、装置、设备及存储介质
CN112597953B (zh) * 2020-12-28 2024-04-09 深圳市捷顺科技实业股份有限公司 检测视频中通道闸区域行人的方法、装置、设备及介质
CN112651369A (zh) * 2020-12-31 2021-04-13 南京视察者智能科技有限公司 一种监控场景下行人识别的方法及装置
EP4293611A1 (en) 2021-02-09 2023-12-20 Nippon Telegraph And Telephone Corporation Object detection device, method, and program
US11514719B1 (en) * 2021-05-18 2022-11-29 Fortinet, Inc. Systems and methods for hierarchical facial image clustering

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008108243A (ja) * 2006-09-28 2008-05-08 Toshiba Corp 人物認識装置および人物認識方法
CN101996328A (zh) * 2010-10-14 2011-03-30 浙江农林大学 一种木材识别方法
CN102324022A (zh) * 2011-09-05 2012-01-18 辽宁工程技术大学 一种基于复合梯度向量的人脸识别方法
CN105760832A (zh) * 2016-02-14 2016-07-13 武汉理工大学 基于Kinect传感器的逃犯识别方法
CN106874347A (zh) * 2016-12-26 2017-06-20 深圳市深网视界科技有限公司 一种匹配人体特征与mac地址的方法及系统
CN106980844A (zh) * 2017-04-06 2017-07-25 武汉神目信息技术有限公司 一种基于人脸识别系统的人物关系挖掘系统及方法
KR101798979B1 (ko) * 2017-01-17 2017-11-17 오동근 스마트 횡단보도 신호등 시스템
CN108229314A (zh) * 2017-11-28 2018-06-29 深圳市商汤科技有限公司 目标人物的搜索方法、装置和电子设备

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000030033A (ja) * 1998-07-09 2000-01-28 Matsushita Electric Ind Co Ltd 人物検出方法
WO2004029659A2 (en) * 2002-06-14 2004-04-08 Honda Giken Kogyo Kabushiki Kaisha Pedestrian detection and tracking with night vision
CN100478979C (zh) * 2002-11-26 2009-04-15 中国科学院计算技术研究所 利用身材信息辅助人脸信息的身份识别方法
JP4085959B2 (ja) * 2003-11-14 2008-05-14 コニカミノルタホールディングス株式会社 物体検出装置、物体検出方法、および記録媒体
JP2006236260A (ja) * 2005-02-28 2006-09-07 Toshiba Corp 顔認証装置、顔認証方法および入退場管理装置
JP4375570B2 (ja) * 2006-08-04 2009-12-02 日本電気株式会社 顔認識方法およびシステム
JP4263737B2 (ja) * 2006-11-09 2009-05-13 トヨタ自動車株式会社 歩行者検知装置
JP5398301B2 (ja) * 2009-03-02 2014-01-29 株式会社東芝 通行管理装置、及び通行管理方法
KR20100138155A (ko) * 2009-06-24 2010-12-31 (주)로봇에버 미아찾기 시스템 및 그 방법
JP5422330B2 (ja) * 2009-10-09 2014-02-19 クラリオン株式会社 歩行者検出システム
JP5401257B2 (ja) * 2009-10-23 2014-01-29 クラリオン株式会社 遠赤外線歩行者検知装置
TW201137765A (en) * 2010-04-29 2011-11-01 Hon Hai Prec Ind Co Ltd Image capturing device and method for obtaining clear images using the image capturing device
KR101503788B1 (ko) * 2013-12-27 2015-03-19 숭실대학교산학협력단 적분영상을 기반으로 하는 특징 정보 예측을 통한 보행자 검출 방법, 이를 수행하기 위한 기록 매체 및 단말기
CN106991395B (zh) * 2017-03-31 2020-05-26 联想(北京)有限公司 信息处理方法、装置及电子设备
CN107341445A (zh) * 2017-06-07 2017-11-10 武汉大千信息技术有限公司 监控场景下行人目标的全景描述方法及系统

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008108243A (ja) * 2006-09-28 2008-05-08 Toshiba Corp 人物認識装置および人物認識方法
CN101996328A (zh) * 2010-10-14 2011-03-30 浙江农林大学 一种木材识别方法
CN102324022A (zh) * 2011-09-05 2012-01-18 辽宁工程技术大学 一种基于复合梯度向量的人脸识别方法
CN105760832A (zh) * 2016-02-14 2016-07-13 武汉理工大学 基于Kinect传感器的逃犯识别方法
CN106874347A (zh) * 2016-12-26 2017-06-20 深圳市深网视界科技有限公司 一种匹配人体特征与mac地址的方法及系统
KR101798979B1 (ko) * 2017-01-17 2017-11-17 오동근 스마트 횡단보도 신호등 시스템
CN106980844A (zh) * 2017-04-06 2017-07-25 武汉神目信息技术有限公司 一种基于人脸识别系统的人物关系挖掘系统及方法
CN108229314A (zh) * 2017-11-28 2018-06-29 深圳市商汤科技有限公司 目标人物的搜索方法、装置和电子设备

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US20190325197A1 (en) 2019-10-24
WO2019105163A1 (zh) 2019-06-06
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