SG11202000072SA - Object detection method, device, and apparatus - Google Patents

Object detection method, device, and apparatus

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Publication number
SG11202000072SA
SG11202000072SA SG11202000072SA SG11202000072SA SG11202000072SA SG 11202000072S A SG11202000072S A SG 11202000072SA SG 11202000072S A SG11202000072S A SG 11202000072SA SG 11202000072S A SG11202000072S A SG 11202000072SA SG 11202000072S A SG11202000072S A SG 11202000072SA
Authority
SG
Singapore
Prior art keywords
identified
multiple targets
targets
categories
detection
Prior art date
Application number
SG11202000072SA
Inventor
Liang Liu
Quanquan Li
Junjie Yan
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
Publication of SG11202000072SA publication Critical patent/SG11202000072SA/en

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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
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local 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
    • G06V10/443—Local 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 by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • 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
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • 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
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
    • 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
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • 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
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • G06T2207/30261—Obstacle

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

Embodiments the application an detection 5 method, device an The comprises: multiple targets be in image detection; confidence levels the targets be with to least category, respectively, determining categories of the multiple targets to be identified according to confidence and position corresponding the 10 r espective of multiple to identified; the offsets to respective of multiple to identified as position offsets of the multiple targets to be identified; and determining, a ccording to the categories of the multiple targets to be identified, the position offsets of the multiple targets to be identified, the confidence levels of the multiple targets to 15 be identified with respect to the categories thereof ， and position informati on and the category at one the to identified the undergoing detection. embodiments the have applicability object detection application scenarios having a higher requirement for real - time processi ng. [Figure 2]
SG11202000072SA 2017-11-22 2018-11-08 Object detection method, device, and apparatus SG11202000072SA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201711175559.8A CN108229307B (en) 2017-11-22 2017-11-22 Method, device and equipment for object detection
PCT/CN2018/114572 WO2019100946A1 (en) 2017-11-22 2018-11-08 Object detection method, device, and apparatus

Publications (1)

Publication Number Publication Date
SG11202000072SA true SG11202000072SA (en) 2020-02-27

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202000072SA SG11202000072SA (en) 2017-11-22 2018-11-08 Object detection method, device, and apparatus

Country Status (6)

Country Link
US (2) US11222441B2 (en)
JP (1) JP7016943B2 (en)
KR (1) KR102407664B1 (en)
CN (1) CN108229307B (en)
SG (1) SG11202000072SA (en)
WO (1) WO2019100946A1 (en)

Families Citing this family (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018033137A1 (en) * 2016-08-19 2018-02-22 北京市商汤科技开发有限公司 Method, apparatus, and electronic device for displaying service object in video image
WO2018121013A1 (en) * 2016-12-29 2018-07-05 Zhejiang Dahua Technology Co., Ltd. Systems and methods for detecting objects in images
WO2018197585A1 (en) * 2017-04-26 2018-11-01 Skansense S.L.U. Identifying targets within images
CN108229307B (en) * 2017-11-22 2022-01-04 北京市商汤科技开发有限公司 Method, device and equipment for object detection
CN109344840B (en) * 2018-08-07 2022-04-01 深圳市商汤科技有限公司 Image processing method and apparatus, electronic device, storage medium, and program product
CN109492576B (en) * 2018-11-07 2021-06-22 北京旷视科技有限公司 Image recognition method and device and electronic equipment
US11099108B2 (en) * 2018-11-21 2021-08-24 Qc Labs Systems and method for providing a graphical user interface for automated determination of randomized representative sampling
CN109583512B (en) * 2018-12-14 2021-05-25 北京旷视科技有限公司 Image processing method, device and system
CN109901833B (en) * 2019-01-24 2022-06-07 福建天晴数码有限公司 Method and terminal for limiting movement of object
CN110059591B (en) * 2019-04-01 2021-04-16 北京中科晶上超媒体信息技术有限公司 Method for identifying moving target area
CN110097114B (en) * 2019-04-26 2021-06-29 新华三技术有限公司 Priori frame determination method and device applied to neural network
CN110427816B (en) * 2019-06-25 2023-09-08 平安科技（深圳）有限公司 Object detection method, device, computer equipment and storage medium
CN112308105B (en) * 2019-08-02 2024-04-12 北京图森智途科技有限公司 Target detection method, target detector and related equipment
CN110852258A (en) * 2019-11-08 2020-02-28 北京字节跳动网络技术有限公司 Object detection method, device, equipment and storage medium
CN113192252B (en) * 2020-01-14 2024-02-02 深圳怡化电脑股份有限公司 Method, device, equipment and readable medium for detecting note duplicate
CN111242088B (en) * 2020-01-22 2023-11-28 上海商汤临港智能科技有限公司 Target detection method and device, electronic equipment and storage medium
US11367347B2 (en) * 2020-02-24 2022-06-21 Ford Global Technologies, Llc Enhanced sensor operation
CN111275011B (en) * 2020-02-25 2023-12-19 阿波罗智能技术(北京)有限公司 Mobile traffic light detection method and device, electronic equipment and storage medium
CN111508019A (en) * 2020-03-11 2020-08-07 上海商汤智能科技有限公司 Target detection method, training method of model thereof, and related device and equipment
CN111523548B (en) * 2020-04-24 2023-11-28 北京市商汤科技开发有限公司 Image semantic segmentation and intelligent driving control method and device
CN111523484B (en) * 2020-04-24 2021-08-27 北京嘀嘀无限科技发展有限公司 Face key point detection method and device, electronic equipment and storage medium
CN111627001B (en) * 2020-05-25 2024-05-17 深圳市商汤科技有限公司 Image detection method and device
CN111724442B (en) * 2020-05-28 2022-04-22 上海商汤智能科技有限公司 Image processing method and device, electronic device and storage medium
CN111931639B (en) * 2020-08-07 2024-06-11 上海商汤临港智能科技有限公司 Driver behavior detection method and device, electronic equipment and storage medium
CN112101134B (en) * 2020-08-24 2024-01-02 深圳市商汤科技有限公司 Object detection method and device, electronic equipment and storage medium
CN112070801B (en) * 2020-08-31 2023-08-11 上海沈德医疗器械科技有限公司 Image-based motion detection method
CN112215123B (en) * 2020-10-09 2022-10-25 腾讯科技（深圳）有限公司 Target detection method, device and storage medium
CN112330597A (en) * 2020-10-14 2021-02-05 浙江大华技术股份有限公司 Image difference detection method and device and computer equipment
KR102283197B1 (en) * 2020-11-04 2021-07-29 주식회사 엘지씨엔에스 A method and device for determining the type of product
CN112597895B (en) * 2020-12-22 2024-04-26 阿波罗智联(北京)科技有限公司 Confidence determining method based on offset detection, road side equipment and cloud control platform
CN112560726B (en) * 2020-12-22 2023-08-29 阿波罗智联(北京)科技有限公司 Target detection confidence determining method, road side equipment and cloud control platform
CN113111708B (en) * 2021-03-10 2023-12-29 北京爱笔科技有限公司 Vehicle matching sample generation method, device, computer equipment and storage medium
CN113160144B (en) * 2021-03-25 2023-05-26 平安科技（深圳）有限公司 Target object detection method, target object detection device, electronic equipment and storage medium
CN113177545B (en) * 2021-04-29 2023-08-04 北京百度网讯科技有限公司 Target object detection method, target object detection device, electronic equipment and storage medium
CN114821272A (en) * 2022-06-28 2022-07-29 上海蜜度信息技术有限公司 Image recognition method, image recognition system, image recognition medium, electronic device, and target detection model
CN114998438B (en) * 2022-08-02 2022-11-01 深圳比特微电子科技有限公司 Target detection method and device and machine-readable storage medium
CN116523908B (en) * 2023-06-30 2023-09-12 湖南隆深氢能科技有限公司 Safe production method, system, equipment and medium based on coil coating production line

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411716A (en) * 2010-09-21 2012-04-11 索尼公司 Target detection and classification method and device
CN102324030B (en) * 2011-09-09 2013-11-06 广州灵视信息科技有限公司 Target tracking method and system based on image block characteristics
CN104424634B (en) * 2013-08-23 2017-05-03 株式会社理光 Object tracking method and device
CN106355188B (en) * 2015-07-13 2020-01-21 阿里巴巴集团控股有限公司 Image detection method and device
US9858496B2 (en) * 2016-01-20 2018-01-02 Microsoft Technology Licensing, Llc Object detection and classification in images
CN108475331B (en) * 2016-02-17 2022-04-05 英特尔公司 Method, apparatus, system and computer readable medium for object detection
JP6656357B2 (en) * 2016-04-04 2020-03-04 オリンパス株式会社 Learning method, image recognition device and program
CN106529527A (en) * 2016-09-23 2017-03-22 北京市商汤科技开发有限公司 Object detection method and device, data processing deice, and electronic equipment
CN106504233B (en) * 2016-10-18 2019-04-09 国网山东省电力公司电力科学研究院 Unmanned plane inspection image electric power widget recognition methods and system based on Faster R-CNN
CN106778852A (en) * 2016-12-07 2017-05-31 中国科学院信息工程研究所 A kind of picture material recognition methods for correcting erroneous judgement
CN106780612B (en) * 2016-12-29 2019-09-17 浙江大华技术股份有限公司 Object detecting method and device in a kind of image
CN106803071B (en) * 2016-12-29 2020-02-14 浙江大华技术股份有限公司 Method and device for detecting object in image
CN107368845B (en) * 2017-06-15 2020-09-22 华南理工大学 Optimized candidate region-based Faster R-CNN target detection method
WO2019028725A1 (en) * 2017-08-10 2019-02-14 Intel Corporation Convolutional neural network framework using reverse connections and objectness priors for object detection
CN108229307B (en) * 2017-11-22 2022-01-04 北京市商汤科技开发有限公司 Method, device and equipment for object detection

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Publication number Publication date
US20200143563A1 (en) 2020-05-07
JP7016943B2 (en) 2022-02-07
US11222441B2 (en) 2022-01-11
KR102407664B1 (en) 2022-06-15
CN108229307A (en) 2018-06-29
CN108229307B (en) 2022-01-04
US20220076444A1 (en) 2022-03-10
WO2019100946A1 (en) 2019-05-31
JP2020527793A (en) 2020-09-10
KR20200018612A (en) 2020-02-19

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