SG11201909885QA - Methods and apparatuses for searching for target person, devices, program products, and media - Google Patents
Methods and apparatuses for searching for target person, devices, program products, and mediaInfo
- Publication number
- SG11201909885QA SG11201909885QA SG11201909885QA SG11201909885QA SG 11201909885Q A SG11201909885Q A SG 11201909885QA SG 11201909885Q A SG11201909885Q A SG 11201909885QA SG 11201909885Q A SG11201909885Q A SG 11201909885QA
- Authority
- SG
- Singapore
- Prior art keywords
- target person
- searching
- image
- apparatuses
- media
- Prior art date
Links
Classifications
-
- 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
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- 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
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation 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
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation 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
- G06V10/757—Matching configurations of points or features
-
- 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
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; 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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
-
- 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
- G06V40/168—Feature extraction; Face representation
-
- 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
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- 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
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Human Computer Interaction (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Library & Information Science (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Geometry (AREA)
- Image Analysis (AREA)
- Collating Specific Patterns (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711219178.5A CN108229314B (zh) | 2017-11-28 | 2017-11-28 | 目标人物的搜索方法、装置和电子设备 |
PCT/CN2018/112420 WO2019105163A1 (zh) | 2017-11-28 | 2018-10-29 | 目标人物的搜索方法和装置、设备、程序产品和介质 |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201909885QA true SG11201909885QA (en) | 2019-11-28 |
Family
ID=62653021
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201909885Q SG11201909885QA (en) | 2017-11-28 | 2018-10-29 | Methods and apparatuses for searching for target person, devices, program products, and media |
Country Status (5)
Country | Link |
---|---|
US (1) | US10891465B2 (zh) |
JP (1) | JP6853379B2 (zh) |
CN (2) | CN108229314B (zh) |
SG (1) | SG11201909885QA (zh) |
WO (1) | WO2019105163A1 (zh) |
Families Citing this family (14)
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 |
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 |
US20240119605A1 (en) * | 2021-02-09 | 2024-04-11 | 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 |
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JP2000030033A (ja) * | 1998-07-09 | 2000-01-28 | Matsushita Electric Ind Co Ltd | 人物検出方法 |
US7139411B2 (en) * | 2002-06-14 | 2006-11-21 | 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 |
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 |
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 |
CN101996328B (zh) * | 2010-10-14 | 2012-10-10 | 浙江农林大学 | 一种木材识别方法 |
CN102324022B (zh) * | 2011-09-05 | 2013-03-20 | 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 |
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 |
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 |
CN106874347B (zh) * | 2016-12-26 | 2020-12-01 | 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 |
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 |
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 |
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 |
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 |
-
2017
- 2017-11-28 CN CN201711219178.5A patent/CN108229314B/zh active Active
-
2018
- 2018-10-29 SG SG11201909885Q patent/SG11201909885QA/en unknown
- 2018-10-29 JP JP2019553914A patent/JP6853379B2/ja active Active
- 2018-10-29 CN CN201880018948.6A patent/CN110431560B/zh active Active
- 2018-10-29 WO PCT/CN2018/112420 patent/WO2019105163A1/zh active Application Filing
-
2019
- 2019-06-28 US US16/457,083 patent/US10891465B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US20190325197A1 (en) | 2019-10-24 |
JP2020515983A (ja) | 2020-05-28 |
CN110431560A (zh) | 2019-11-08 |
CN108229314A (zh) | 2018-06-29 |
CN108229314B (zh) | 2021-05-04 |
US10891465B2 (en) | 2021-01-12 |
WO2019105163A1 (zh) | 2019-06-06 |
JP6853379B2 (ja) | 2021-03-31 |
CN110431560B (zh) | 2023-12-19 |
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