KR20210113621A - 뉴럴 네트워크의 트레이닝 및 눈 개폐 상태의 검출 방법, 장치 및 기기 - Google Patents
뉴럴 네트워크의 트레이닝 및 눈 개폐 상태의 검출 방법, 장치 및 기기 Download PDFInfo
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- KR20210113621A KR20210113621A KR1020217023286A KR20217023286A KR20210113621A KR 20210113621 A KR20210113621 A KR 20210113621A KR 1020217023286 A KR1020217023286 A KR 1020217023286A KR 20217023286 A KR20217023286 A KR 20217023286A KR 20210113621 A KR20210113621 A KR 20210113621A
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- G06K9/00617—
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- 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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/197—Matching; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G06K9/00771—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G06N3/0454—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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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
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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CN201910153463.4A CN111626087A (zh) | 2019-02-28 | 2019-02-28 | 神经网络训练及眼睛睁闭状态检测方法、装置及设备 |
CN201910153463.4 | 2019-02-28 | ||
PCT/CN2019/118127 WO2020173135A1 (zh) | 2019-02-28 | 2019-11-13 | 神经网络训练及眼睛睁闭状态检测方法、装置及设备 |
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KR20210113621A true KR20210113621A (ko) | 2021-09-16 |
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KR1020217023286A KR20210113621A (ko) | 2019-02-28 | 2019-11-13 | 뉴럴 네트워크의 트레이닝 및 눈 개폐 상태의 검출 방법, 장치 및 기기 |
Country Status (4)
Country | Link |
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JP (1) | JP7227385B2 (ja) |
KR (1) | KR20210113621A (ja) |
CN (1) | CN111626087A (ja) |
WO (1) | WO2020173135A1 (ja) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN113313790A (zh) * | 2021-05-31 | 2021-08-27 | 北京字跳网络技术有限公司 | 视频生成方法、装置、设备及存储介质 |
CN113537176A (zh) * | 2021-09-16 | 2021-10-22 | 武汉未来幻影科技有限公司 | 一种驾驶员疲劳状态的确定方法、装置以及设备 |
CN114283488B (zh) * | 2022-03-08 | 2022-06-14 | 北京万里红科技有限公司 | 生成检测模型的方法及利用检测模型检测眼睛状态的方法 |
CN117687313A (zh) * | 2023-12-29 | 2024-03-12 | 广东福临门世家智能家居有限公司 | 基于智能门锁的智能家居设备控制方法及系统 |
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JP4687150B2 (ja) | 2005-03-08 | 2011-05-25 | 日産自動車株式会社 | 直射光検出装置 |
JP4770218B2 (ja) | 2005-03-22 | 2011-09-14 | 日産自動車株式会社 | 視認行動判定装置 |
JP4978227B2 (ja) | 2007-02-15 | 2012-07-18 | トヨタ自動車株式会社 | 画像検出装置 |
CN107003834B (zh) * | 2014-12-15 | 2018-07-06 | 北京市商汤科技开发有限公司 | 行人检测设备和方法 |
JP2016176699A (ja) | 2015-03-18 | 2016-10-06 | 株式会社オートネットワーク技術研究所 | 経路探索装置、経路探索方法及びコンピュータプログラム |
JP6582604B2 (ja) | 2015-06-23 | 2019-10-02 | 富士通株式会社 | 瞳孔検出プログラム、瞳孔検出方法、瞳孔検出装置および視線検出システム |
US10002415B2 (en) * | 2016-04-12 | 2018-06-19 | Adobe Systems Incorporated | Utilizing deep learning for rating aesthetics of digital images |
JP6892231B2 (ja) | 2016-07-29 | 2021-06-23 | アルパイン株式会社 | 瞼開閉検出装置および瞼開閉検出方法 |
JP6762794B2 (ja) | 2016-07-29 | 2020-09-30 | アルパイン株式会社 | 瞼開閉検出装置および瞼開閉検出方法 |
CN106529402B (zh) * | 2016-09-27 | 2019-05-28 | 中国科学院自动化研究所 | 基于多任务学习的卷积神经网络的人脸属性分析方法 |
JP2018075208A (ja) | 2016-11-10 | 2018-05-17 | パナソニックIpマネジメント株式会社 | 運転者の状態検出システムおよび状態検出方法 |
CN106585629B (zh) * | 2016-12-06 | 2019-07-12 | 广东泓睿科技有限公司 | 一种车辆控制方法和装置 |
CN108985135A (zh) * | 2017-06-02 | 2018-12-11 | 腾讯科技(深圳)有限公司 | 一种人脸检测器训练方法、装置及电子设备 |
CN108022238B (zh) * | 2017-08-09 | 2020-07-03 | 深圳科亚医疗科技有限公司 | 对3d图像中对象进行检测的方法、计算机存储介质和系统 |
WO2019028798A1 (zh) | 2017-08-10 | 2019-02-14 | 北京市商汤科技开发有限公司 | 驾驶状态监控方法、装置和电子设备 |
CN108614999B (zh) * | 2018-04-16 | 2022-09-16 | 贵州大学 | 基于深度学习的眼睛睁闭状态检测方法 |
CN108805185B (zh) * | 2018-05-29 | 2023-06-30 | 腾讯科技(深圳)有限公司 | 人脸识别方法、装置、存储介质及计算机设备 |
CN108960071A (zh) * | 2018-06-06 | 2018-12-07 | 武汉幻视智能科技有限公司 | 一种睁眼闭眼状态检测方法 |
CN108932536B (zh) * | 2018-07-18 | 2021-11-09 | 电子科技大学 | 基于深度神经网络的人脸姿态重建方法 |
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- 2019-02-28 CN CN201910153463.4A patent/CN111626087A/zh active Pending
- 2019-11-13 JP JP2021541183A patent/JP7227385B2/ja active Active
- 2019-11-13 WO PCT/CN2019/118127 patent/WO2020173135A1/zh active Application Filing
- 2019-11-13 KR KR1020217023286A patent/KR20210113621A/ko not_active Application Discontinuation
Also Published As
Publication number | Publication date |
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JP2022517398A (ja) | 2022-03-08 |
JP7227385B2 (ja) | 2023-02-21 |
WO2020173135A1 (zh) | 2020-09-03 |
CN111626087A (zh) | 2020-09-04 |
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