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 PDFInfo
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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)
- PCT国内申请,权利要求书已公开。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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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 |
CN2017112191785 | 2017-11-28 | ||
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 |
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CN110431560A true CN110431560A (zh) | 2019-11-08 |
CN110431560B CN110431560B (zh) | 2023-12-19 |
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CN201880018948.6A Active CN110431560B (zh) | 2017-11-28 | 2018-10-29 | 目标人物的搜索方法和装置、设备和介质 |
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US (1) | US10891465B2 (zh) |
JP (1) | JP6853379B2 (zh) |
CN (2) | CN108229314B (zh) |
SG (1) | SG11201909885QA (zh) |
WO (1) | WO2019105163A1 (zh) |
Families Citing this family (15)
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)
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)
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 |
-
2017
- 2017-11-28 CN CN201711219178.5A patent/CN108229314B/zh active Active
-
2018
- 2018-10-29 JP JP2019553914A patent/JP6853379B2/ja active Active
- 2018-10-29 SG SG11201909885Q patent/SG11201909885QA/en unknown
- 2018-10-29 WO PCT/CN2018/112420 patent/WO2019105163A1/zh active Application Filing
- 2018-10-29 CN CN201880018948.6A patent/CN110431560B/zh active Active
-
2019
- 2019-06-28 US US16/457,083 patent/US10891465B2/en active Active
Patent Citations (8)
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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US10891465B2 (en) | 2021-01-12 |
JP6853379B2 (ja) | 2021-03-31 |
CN110431560B (zh) | 2023-12-19 |
JP2020515983A (ja) | 2020-05-28 |
US20190325197A1 (en) | 2019-10-24 |
WO2019105163A1 (zh) | 2019-06-06 |
CN108229314A (zh) | 2018-06-29 |
CN108229314B (zh) | 2021-05-04 |
SG11201909885QA (en) | 2019-11-28 |
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