CN111275040B - 定位方法及装置、电子设备、计算机可读存储介质 - Google Patents

定位方法及装置、电子设备、计算机可读存储介质 Download PDF

Info

Publication number
CN111275040B
CN111275040B CN202010058788.7A CN202010058788A CN111275040B CN 111275040 B CN111275040 B CN 111275040B CN 202010058788 A CN202010058788 A CN 202010058788A CN 111275040 B CN111275040 B CN 111275040B
Authority
CN
China
Prior art keywords
pixel point
target
frame
distance
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010058788.7A
Other languages
English (en)
Chinese (zh)
Other versions
CN111275040A (zh
Inventor
战赓
欧阳万里
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Sensetime Technology Development Co Ltd
Original Assignee
Beijing Sensetime Technology Development Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Priority to CN202010058788.7A priority Critical patent/CN111275040B/zh
Publication of CN111275040A publication Critical patent/CN111275040A/zh
Priority to JP2022500616A priority patent/JP2022540101A/ja
Priority to PCT/CN2021/072210 priority patent/WO2021143865A1/zh
Priority to KR1020227018711A priority patent/KR20220093187A/ko
Application granted granted Critical
Publication of CN111275040B publication Critical patent/CN111275040B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00Indexing scheme for image generation or computer graphics
    • G06T2210/12Bounding box

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
CN202010058788.7A 2020-01-18 2020-01-18 定位方法及装置、电子设备、计算机可读存储介质 Active CN111275040B (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CN202010058788.7A CN111275040B (zh) 2020-01-18 2020-01-18 定位方法及装置、电子设备、计算机可读存储介质
JP2022500616A JP2022540101A (ja) 2020-01-18 2021-01-15 ポジショニング方法及び装置、電子機器、コンピュータ読み取り可能な記憶媒体
PCT/CN2021/072210 WO2021143865A1 (zh) 2020-01-18 2021-01-15 定位方法及装置、电子设备、计算机可读存储介质
KR1020227018711A KR20220093187A (ko) 2020-01-18 2021-01-15 포지셔닝 방법 및 장치, 전자 기기, 컴퓨터 판독 가능 저장 매체

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010058788.7A CN111275040B (zh) 2020-01-18 2020-01-18 定位方法及装置、电子设备、计算机可读存储介质

Publications (2)

Publication Number Publication Date
CN111275040A CN111275040A (zh) 2020-06-12
CN111275040B true CN111275040B (zh) 2023-07-25

Family

ID=70998770

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010058788.7A Active CN111275040B (zh) 2020-01-18 2020-01-18 定位方法及装置、电子设备、计算机可读存储介质

Country Status (4)

Country Link
JP (1) JP2022540101A (ja)
KR (1) KR20220093187A (ja)
CN (1) CN111275040B (ja)
WO (1) WO2021143865A1 (ja)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111275040B (zh) * 2020-01-18 2023-07-25 北京市商汤科技开发有限公司 定位方法及装置、电子设备、计算机可读存储介质
CN111931723B (zh) * 2020-09-23 2021-01-05 北京易真学思教育科技有限公司 目标检测与图像识别方法和设备、计算机可读介质
CN114613147B (zh) * 2020-11-25 2023-08-04 浙江宇视科技有限公司 一种车辆违章的识别方法、装置、介质及电子设备
CN112819003B (zh) * 2021-04-19 2021-08-27 北京妙医佳健康科技集团有限公司 一种提升体检报告ocr识别准确率的方法及装置
CN113762109B (zh) * 2021-08-23 2023-11-07 北京百度网讯科技有限公司 一种文字定位模型的训练方法及文字定位方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108764292A (zh) * 2018-04-27 2018-11-06 北京大学 基于弱监督信息的深度学习图像目标映射及定位方法
CN109426803A (zh) * 2017-09-04 2019-03-05 三星电子株式会社 用于识别对象的方法和设备
CN109522938A (zh) * 2018-10-26 2019-03-26 华南理工大学 一种基于深度学习的图像中目标的识别方法

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10402995B2 (en) * 2017-07-27 2019-09-03 Here Global B.V. Method, apparatus, and system for real-time object detection using a cursor recurrent neural network
CN111275040B (zh) * 2020-01-18 2023-07-25 北京市商汤科技开发有限公司 定位方法及装置、电子设备、计算机可读存储介质

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109426803A (zh) * 2017-09-04 2019-03-05 三星电子株式会社 用于识别对象的方法和设备
CN108764292A (zh) * 2018-04-27 2018-11-06 北京大学 基于弱监督信息的深度学习图像目标映射及定位方法
CN109522938A (zh) * 2018-10-26 2019-03-26 华南理工大学 一种基于深度学习的图像中目标的识别方法

Also Published As

Publication number Publication date
JP2022540101A (ja) 2022-09-14
KR20220093187A (ko) 2022-07-05
CN111275040A (zh) 2020-06-12
WO2021143865A1 (zh) 2021-07-22

Similar Documents

Publication Publication Date Title
CN111275040B (zh) 定位方法及装置、电子设备、计算机可读存储介质
CN108960211B (zh) 一种多目标人体姿态检测方法以及系统
CN108229509B (zh) 用于识别物体类别的方法及装置、电子设备
CN109272509B (zh) 一种连续图像的目标检测方法、装置、设备及存储介质
US8395676B2 (en) Information processing device and method estimating a posture of a subject in an image
CN110705405A (zh) 目标标注的方法及装置
CN108009466B (zh) 行人检测方法和装置
US20080292192A1 (en) Human detection device and method and program of the same
CN108564579B (zh) 一种基于时空相关的混凝土裂缝检测方法及检测装置
CN111339979B (zh) 基于特征提取的图像识别方法及图像识别装置
CN111814690B (zh) 一种目标重识别方法、装置和计算机可读存储介质
CN111768450A (zh) 基于散斑图的结构光相机行偏差的自动检测方法和装置
CN104951440B (zh) 一种图像处理方法及电子设备
CN113158773B (zh) 一种活体检测模型的训练方法及训练装置
CN113888438A (zh) 图像处理方法、装置及存储介质
CN116091781B (zh) 一种用于图像识别的数据处理方法及装置
CN111179245B (zh) 图像质量检测方法、装置、电子设备和存储介质
CN112070035A (zh) 基于视频流的目标跟踪方法、装置及存储介质
CN113228105A (zh) 一种图像处理方法、装置和电子设备
CN113239738B (zh) 一种图像的模糊检测方法及模糊检测装置
CN114972465A (zh) 图像目标深度的检测方法、装置、电子设备和存储介质
CN114399432A (zh) 目标识别方法、装置、设备、介质及产品
CN115049731B (zh) 一种基于双目摄像头的视觉建图和定位方法
CN113538337B (zh) 检测方法、检测装置及计算机可读存储介质
CN116433939B (zh) 样本图像生成方法、训练方法、识别方法以及装置

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant