CN112016445A - 一种基于监控视频的遗留物检测方法 - Google Patents
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112419367A (zh) * | 2020-12-02 | 2021-02-26 | 中国人民解放军军事科学院国防科技创新研究院 | 特异目标物的识别方法及装置 |
CN112634327A (zh) * | 2020-12-21 | 2021-04-09 | 合肥讯图信息科技有限公司 | 基于YOLOv4模型的跟踪方法 |
CN112784680A (zh) * | 2020-12-23 | 2021-05-11 | 中国人民大学 | 一种人流密集场所锁定密集接触者的方法和系统 |
CN113052877A (zh) * | 2021-03-22 | 2021-06-29 | 中国石油大学(华东) | 一种基于多摄像头融合的多目标追踪方法 |
CN113313090A (zh) * | 2021-07-28 | 2021-08-27 | 四川九通智路科技有限公司 | 一种被遗弃可疑行李的遗弃人检测追踪方法 |
CN113343867A (zh) * | 2021-06-15 | 2021-09-03 | 广东电网有限责任公司 | 一种机房搬运设备检测方法、系统、设备及介质 |
CN115311608A (zh) * | 2022-10-11 | 2022-11-08 | 之江实验室 | 一种多任务多目标关联追踪的方法及装置 |
CN116129350A (zh) * | 2022-12-26 | 2023-05-16 | 广东高士德电子科技有限公司 | 数据中心安全作业的智能监控方法、装置、设备及介质 |
KR20230078141A (ko) * | 2021-11-26 | 2023-06-02 | 주식회사 마크애니 | 영상 기반 유기물 탐지 방법 및 장치 |
CN116309692A (zh) * | 2022-09-08 | 2023-06-23 | 广东省机场管理集团有限公司工程建设指挥部 | 基于深度学习用于机场安检人包绑定的方法、装置及介质 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100128930A1 (en) * | 2008-11-24 | 2010-05-27 | Canon Kabushiki Kaisha | Detection of abandoned and vanished objects |
CN107527009A (zh) * | 2017-07-11 | 2017-12-29 | 浙江汉凡软件科技有限公司 | 一种基于yolo目标检测的遗留物检测方法 |
CN109816690A (zh) * | 2018-12-25 | 2019-05-28 | 北京飞搜科技有限公司 | 基于深度特征的多目标追踪方法及系统 |
CN110110649A (zh) * | 2019-05-02 | 2019-08-09 | 西安电子科技大学 | 基于速度方向的可选择性人脸检测方法 |
CN110490901A (zh) * | 2019-07-15 | 2019-11-22 | 武汉大学 | 抗姿态变化的行人检测跟踪方法 |
CN110956649A (zh) * | 2019-11-22 | 2020-04-03 | 北京影谱科技股份有限公司 | 多目标三维物体跟踪的方法和装置 |
CN111080673A (zh) * | 2019-12-10 | 2020-04-28 | 清华大学深圳国际研究生院 | 一种抗遮挡目标跟踪方法 |
-
2020
- 2020-08-27 CN CN202010874464.0A patent/CN112016445B/zh active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100128930A1 (en) * | 2008-11-24 | 2010-05-27 | Canon Kabushiki Kaisha | Detection of abandoned and vanished objects |
CN107527009A (zh) * | 2017-07-11 | 2017-12-29 | 浙江汉凡软件科技有限公司 | 一种基于yolo目标检测的遗留物检测方法 |
CN109816690A (zh) * | 2018-12-25 | 2019-05-28 | 北京飞搜科技有限公司 | 基于深度特征的多目标追踪方法及系统 |
CN110110649A (zh) * | 2019-05-02 | 2019-08-09 | 西安电子科技大学 | 基于速度方向的可选择性人脸检测方法 |
CN110490901A (zh) * | 2019-07-15 | 2019-11-22 | 武汉大学 | 抗姿态变化的行人检测跟踪方法 |
CN110956649A (zh) * | 2019-11-22 | 2020-04-03 | 北京影谱科技股份有限公司 | 多目标三维物体跟踪的方法和装置 |
CN111080673A (zh) * | 2019-12-10 | 2020-04-28 | 清华大学深圳国际研究生院 | 一种抗遮挡目标跟踪方法 |
Non-Patent Citations (2)
Title |
---|
张叶: "智能监控系统中目标检测算法的研究", 《中国优秀硕士论文全文数据库(电子期刊)》 * |
管军霖 等: "基于YOLOv4卷积神经网络的口罩佩戴检测方法", 《现代信息科技》 * |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112419367B (zh) * | 2020-12-02 | 2023-04-07 | 中国人民解放军军事科学院国防科技创新研究院 | 特异目标物的识别方法及装置 |
CN112419367A (zh) * | 2020-12-02 | 2021-02-26 | 中国人民解放军军事科学院国防科技创新研究院 | 特异目标物的识别方法及装置 |
CN112634327A (zh) * | 2020-12-21 | 2021-04-09 | 合肥讯图信息科技有限公司 | 基于YOLOv4模型的跟踪方法 |
CN112784680A (zh) * | 2020-12-23 | 2021-05-11 | 中国人民大学 | 一种人流密集场所锁定密集接触者的方法和系统 |
CN112784680B (zh) * | 2020-12-23 | 2024-02-02 | 中国人民大学 | 一种人流密集场所锁定密集接触者的方法和系统 |
CN113052877A (zh) * | 2021-03-22 | 2021-06-29 | 中国石油大学(华东) | 一种基于多摄像头融合的多目标追踪方法 |
CN113343867A (zh) * | 2021-06-15 | 2021-09-03 | 广东电网有限责任公司 | 一种机房搬运设备检测方法、系统、设备及介质 |
CN113313090A (zh) * | 2021-07-28 | 2021-08-27 | 四川九通智路科技有限公司 | 一种被遗弃可疑行李的遗弃人检测追踪方法 |
KR20230078141A (ko) * | 2021-11-26 | 2023-06-02 | 주식회사 마크애니 | 영상 기반 유기물 탐지 방법 및 장치 |
KR102676141B1 (ko) * | 2021-11-26 | 2024-06-18 | 주식회사 마크애니 | 영상 기반 유기물 탐지 방법 및 장치 |
CN116309692A (zh) * | 2022-09-08 | 2023-06-23 | 广东省机场管理集团有限公司工程建设指挥部 | 基于深度学习用于机场安检人包绑定的方法、装置及介质 |
CN116309692B (zh) * | 2022-09-08 | 2023-10-20 | 广东省机场管理集团有限公司工程建设指挥部 | 基于深度学习用于机场安检人包绑定的方法、装置及介质 |
CN115311608B (zh) * | 2022-10-11 | 2023-03-21 | 之江实验室 | 一种多任务多目标关联追踪的方法及装置 |
CN115311608A (zh) * | 2022-10-11 | 2022-11-08 | 之江实验室 | 一种多任务多目标关联追踪的方法及装置 |
CN116129350A (zh) * | 2022-12-26 | 2023-05-16 | 广东高士德电子科技有限公司 | 数据中心安全作业的智能监控方法、装置、设备及介质 |
CN116129350B (zh) * | 2022-12-26 | 2024-01-16 | 广东高士德电子科技有限公司 | 数据中心安全作业的智能监控方法、装置、设备及介质 |
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