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
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- 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
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- 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
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- 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)
Abstract
METHODS AND APPARATUSES FOR SEARCHING FOR TARGET PERSON, DEVICES, PROGRAM PRODUCTS, AND MEDIA 5 Embodiments of the present disclosure provide methods and apparatuses for searching for a target person, devices, program products, and media, and improve the accuracy rate of searching for a target person. The method includes: obtaining an image of the target person; searching a face image l ibrary by using the image of the 10 target person to obtain a first face image template matching the image of the target person, where the face image library includes a plurality of face image templates; and obtaining, according to the first face image template and a pedestrian image library, at least one target pedestrian image template matching the image of the target person, where the pedestrian image library includes a plurality of pedestrian image templates. 15 [Figure 1]
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711219178.5A CN108229314B (en) | 2017-11-28 | 2017-11-28 | Target person searching method and device and electronic equipment |
PCT/CN2018/112420 WO2019105163A1 (en) | 2017-11-28 | 2018-10-29 | Target person search method and apparatus, device, program product and medium |
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 (en) |
JP (1) | JP6853379B2 (en) |
CN (2) | CN108229314B (en) |
SG (1) | SG11201909885QA (en) |
WO (1) | WO2019105163A1 (en) |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107516105B (en) * | 2017-07-20 | 2020-06-16 | 阿里巴巴集团控股有限公司 | Image processing method and device |
CN108229314B (en) * | 2017-11-28 | 2021-05-04 | 深圳市商汤科技有限公司 | Target person searching method and device and electronic equipment |
CN108924491B (en) * | 2018-07-04 | 2020-08-25 | 深圳市商汤科技有限公司 | Video stream processing method and device, electronic equipment and storage medium |
CN110851636B (en) * | 2018-07-24 | 2023-05-02 | 杭州海康威视数字技术股份有限公司 | Image searching system, method and device |
CN109359570A (en) * | 2018-09-30 | 2019-02-19 | 广东司法警官职业学院 | A kind of method of video personage identification |
CN110263830B (en) * | 2019-06-06 | 2021-06-08 | 北京旷视科技有限公司 | Image processing method, device and system and storage medium |
CN110852269B (en) * | 2019-11-11 | 2022-05-20 | 青岛海信网络科技股份有限公司 | Cross-lens portrait correlation analysis method and device based on feature clustering |
CN111159476B (en) * | 2019-12-11 | 2022-12-16 | 智慧眼科技股份有限公司 | Target object searching method and device, computer equipment and storage medium |
CN111767783A (en) * | 2020-04-22 | 2020-10-13 | 杭州海康威视数字技术股份有限公司 | Behavior detection method, behavior detection device, model training method, model training device, electronic equipment and storage medium |
CN114092955A (en) * | 2020-07-29 | 2022-02-25 | 华为技术有限公司 | Database updating method, device and storage medium |
CN112597953B (en) * | 2020-12-28 | 2024-04-09 | 深圳市捷顺科技实业股份有限公司 | Method, device, equipment and medium for detecting passerby in passerby area in video |
CN112651369A (en) * | 2020-12-31 | 2021-04-13 | 南京视察者智能科技有限公司 | Method and device for identifying pedestrians in monitoring scene |
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 |
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JP2000030033A (en) * | 1998-07-09 | 2000-01-28 | Matsushita Electric Ind Co Ltd | Person detecting method |
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CN100478979C (en) * | 2002-11-26 | 2009-04-15 | 中国科学院计算技术研究所 | Status identification method by using body information matched human face information |
JP4085959B2 (en) * | 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 | Object detection device, object detection method, and recording medium |
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JP4375570B2 (en) * | 2006-08-04 | 2009-12-02 | 日本電気株式会社 | Face recognition method and system |
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CN107341445A (en) * | 2017-06-07 | 2017-11-10 | 武汉大千信息技术有限公司 | The panorama of pedestrian target describes method and system under monitoring scene |
CN108229314B (en) * | 2017-11-28 | 2021-05-04 | 深圳市商汤科技有限公司 | Target person searching method and device and electronic equipment |
-
2017
- 2017-11-28 CN CN201711219178.5A patent/CN108229314B/en active Active
-
2018
- 2018-10-29 SG SG11201909885Q patent/SG11201909885QA/en unknown
- 2018-10-29 CN CN201880018948.6A patent/CN110431560B/en active Active
- 2018-10-29 WO PCT/CN2018/112420 patent/WO2019105163A1/en active Application Filing
- 2018-10-29 JP JP2019553914A patent/JP6853379B2/en active Active
-
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 |
JP6853379B2 (en) | 2021-03-31 |
CN108229314B (en) | 2021-05-04 |
CN110431560A (en) | 2019-11-08 |
CN110431560B (en) | 2023-12-19 |
US10891465B2 (en) | 2021-01-12 |
WO2019105163A1 (en) | 2019-06-06 |
CN108229314A (en) | 2018-06-29 |
JP2020515983A (en) | 2020-05-28 |
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