KR20220087561A - 궤적 예측 - Google Patents

궤적 예측 Download PDF

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KR20220087561A
KR20220087561A KR1020227018513A KR20227018513A KR20220087561A KR 20220087561 A KR20220087561 A KR 20220087561A KR 1020227018513 A KR1020227018513 A KR 1020227018513A KR 20227018513 A KR20227018513 A KR 20227018513A KR 20220087561 A KR20220087561 A KR 20220087561A
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target object
trajectory
past
characterization vector
value
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KR1020227018513A
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Korean (ko)
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젠화 쑨
친훙 장
처우 루
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상하이 센스타임 인텔리전트 테크놀로지 컴퍼니 리미티드
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Publication of KR20220087561A publication Critical patent/KR20220087561A/ko

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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
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • 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
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G06V40/25—Recognition of walking or running movements, e.g. gait recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • 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
    • 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • 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
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
    • 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
    • G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30241—Trajectory

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Human Computer Interaction (AREA)
  • Databases & Information Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)
KR1020227018513A 2020-03-13 2021-03-10 궤적 예측 KR20220087561A (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN202010177302.1 2020-03-13
CN202010177302.1A CN111401233A (zh) 2020-03-13 2020-03-13 轨迹预测方法、装置、电子设备及介质
PCT/CN2021/080016 WO2021180130A1 (zh) 2020-03-13 2021-03-10 轨迹预测

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KR20220087561A true KR20220087561A (ko) 2022-06-24

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JP (1) JP2023503527A (zh)
KR (1) KR20220087561A (zh)
CN (1) CN111401233A (zh)
WO (1) WO2021180130A1 (zh)

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Publication number Priority date Publication date Assignee Title
CN111401233A (zh) * 2020-03-13 2020-07-10 商汤集团有限公司 轨迹预测方法、装置、电子设备及介质
CN111798492B (zh) * 2020-07-16 2024-04-19 商汤国际私人有限公司 轨迹预测方法、装置、电子设备及介质
CN111783738A (zh) * 2020-07-29 2020-10-16 中国人民解放军国防科技大学 一种通信辐射源异常运动轨迹检测方法
CN112541449A (zh) * 2020-12-18 2021-03-23 天津大学 一种基于无人机航拍视角的行人轨迹预测方法
CN112785075B (zh) * 2021-01-31 2022-11-25 江苏商贸职业学院 一种基于rfid定位的行人行为预测方法及系统
CN113033364B (zh) * 2021-03-15 2024-06-14 商汤集团有限公司 轨迹预测方法、行驶控制方法、装置、电子设备及存储介质
CN113177470B (zh) * 2021-04-28 2022-11-01 华中科技大学 行人轨迹预测方法、装置、设备及存储介质
CN113360094B (zh) * 2021-06-04 2022-11-01 重庆紫光华山智安科技有限公司 数据预测方法和装置、电子设备及存储介质
CN114239974B (zh) * 2021-12-21 2022-10-25 清华大学 多智能体的位置预测方法、装置、电子设备及存储介质
CN114379595B (zh) * 2022-02-22 2023-04-07 无锡物联网创新中心有限公司 基于车辆行为特征与环境交互信息的车辆轨迹预测方法
CN114722232B (zh) * 2022-04-18 2023-12-12 北京航迹科技有限公司 预测运动轨迹的方法、装置、设备和存储介质
CN115205330B (zh) * 2022-06-17 2023-03-24 中关村科学城城市大脑股份有限公司 轨迹信息生成方法、装置、电子设备和计算机可读介质
CN115071762B (zh) * 2022-08-22 2022-12-16 北京理工大学前沿技术研究院 面向城市场景下行人轨迹预测方法、模型及存储介质
CN117556376B (zh) * 2024-01-11 2024-04-30 宁波朗达工程科技有限公司 一种基于多源数据融合的船舶动态轨迹预测及跟踪方法

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WO2018135184A1 (ja) * 2017-01-23 2018-07-26 ソニー株式会社 情報処理装置、情報処理方法及びコンピュータプログラム
CN107168342B (zh) * 2017-07-12 2020-04-07 哈尔滨工大智慧工厂有限公司 一种用于机器人路径规划的行人轨迹预测方法
CN109558961B (zh) * 2017-09-25 2023-05-02 阿里巴巴集团控股有限公司 确定位置信息的方法和系统、存储介质、处理器以及装置
CN108537818B (zh) * 2018-03-07 2020-08-14 上海交通大学 基于集群压力lstm的人群轨迹预测方法
CN109300144B (zh) * 2018-09-21 2021-12-24 中国矿业大学 一种融合社会力模型和卡尔曼滤波的行人轨迹预测方法
CN110516888B (zh) * 2019-09-02 2020-12-22 重庆紫光华山智安科技有限公司 轨迹预测方法、装置、电子设备和计算机可读存储介质
CN110610271B (zh) * 2019-09-17 2022-05-13 北京理工大学 一种基于长短记忆网络的多重车辆轨迹预测方法
CN111401233A (zh) * 2020-03-13 2020-07-10 商汤集团有限公司 轨迹预测方法、装置、电子设备及介质

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JP2023503527A (ja) 2023-01-30
WO2021180130A1 (zh) 2021-09-16

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