EP3782075A4 - Système de détection et de reconnaissance d'objets en temps réel à l'aide de caractéristiques d'image et de taille - Google Patents
Système de détection et de reconnaissance d'objets en temps réel à l'aide de caractéristiques d'image et de taille Download PDFInfo
- Publication number
- EP3782075A4 EP3782075A4 EP19789101.3A EP19789101A EP3782075A4 EP 3782075 A4 EP3782075 A4 EP 3782075A4 EP 19789101 A EP19789101 A EP 19789101A EP 3782075 A4 EP3782075 A4 EP 3782075A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- recognition
- real
- image
- object detection
- time object
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title 1
Classifications
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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
-
- 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
- G06F18/24133—Distances to prototypes
-
- 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
- G06F18/24133—Distances to prototypes
- G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
-
- 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/047—Probabilistic or stochastic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/143—Sensing or illuminating at different wavelengths
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/145—Illumination specially adapted for pattern recognition, e.g. using gratings
-
- 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
- G06V10/40—Extraction of image or video features
- G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
- G06V10/507—Summing image-intensity values; Histogram projection analysis
-
- 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
- G06V20/50—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
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Biophysics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Biodiversity & Conservation Biology (AREA)
- Probability & Statistics with Applications (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862659100P | 2018-04-17 | 2018-04-17 | |
PCT/US2019/018119 WO2019203921A1 (fr) | 2018-04-17 | 2019-02-14 | Système de détection et de reconnaissance d'objets en temps réel à l'aide de caractéristiques d'image et de taille |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3782075A1 EP3782075A1 (fr) | 2021-02-24 |
EP3782075A4 true EP3782075A4 (fr) | 2021-12-29 |
Family
ID=68239189
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP19789101.3A Pending EP3782075A4 (fr) | 2018-04-17 | 2019-02-14 | Système de détection et de reconnaissance d'objets en temps réel à l'aide de caractéristiques d'image et de taille |
Country Status (3)
Country | Link |
---|---|
EP (1) | EP3782075A4 (fr) |
CN (1) | CN111801689B (fr) |
WO (1) | WO2019203921A1 (fr) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111275054B (zh) * | 2020-01-16 | 2023-10-31 | 北京迈格威科技有限公司 | 图像处理方法、装置、电子设备及存储介质 |
CN112633323B (zh) * | 2020-11-26 | 2024-04-30 | 成都佳发安泰教育科技股份有限公司 | 一种用于教室的姿态检测方法和*** |
CN112560726B (zh) * | 2020-12-22 | 2023-08-29 | 阿波罗智联(北京)科技有限公司 | 目标检测置信度确定方法、路侧设备及云控平台 |
CN117075130B (zh) * | 2023-07-07 | 2024-06-25 | 中国电子科技集团公司第三十八研究所 | 低慢小目标激光跟踪装置及其工作方法 |
Family Cites Families (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2341231A (en) * | 1998-09-05 | 2000-03-08 | Sharp Kk | Face detection in an image |
CN101615252B (zh) * | 2008-06-25 | 2012-07-04 | 中国科学院自动化研究所 | 一种自适应图像文本信息提取方法 |
US8050459B2 (en) * | 2008-07-25 | 2011-11-01 | GM Global Technology Operations LLC | System and method for detecting pedestrians |
WO2013186906A1 (fr) * | 2012-06-14 | 2013-12-19 | トヨタ自動車株式会社 | Dispositif de génération de conteneur de discrimination et dispositif de détection de motifs |
US9613273B2 (en) * | 2015-05-19 | 2017-04-04 | Toyota Motor Engineering & Manufacturing North America, Inc. | Apparatus and method for object tracking |
US9582895B2 (en) * | 2015-05-22 | 2017-02-28 | International Business Machines Corporation | Real-time object analysis with occlusion handling |
CN105760858A (zh) * | 2016-03-21 | 2016-07-13 | 东南大学 | 一种基于类Haar中间层滤波特征的行人检测方法及装置 |
CN105913003B (zh) * | 2016-04-07 | 2019-06-07 | 国家电网公司 | 一种多特征多模型的行人检测方法 |
WO2017192629A1 (fr) * | 2016-05-02 | 2017-11-09 | The Regents Of The University Of California | Système et procédé d'estimation de paramètres de perfusion au moyen de l'imagerie médicale |
EP3261017A1 (fr) * | 2016-06-20 | 2017-12-27 | Delphi Technologies, Inc. | Système de traitement d'image pour détecter des objets d'intérêt |
US10083369B2 (en) * | 2016-07-01 | 2018-09-25 | Ricoh Company, Ltd. | Active view planning by deep learning |
CN107092883A (zh) * | 2017-04-20 | 2017-08-25 | 上海极链网络科技有限公司 | 物体识别追踪方法 |
CN107273832B (zh) * | 2017-06-06 | 2020-09-22 | 青海省交通科学研究院 | 基于积分通道特征与卷积神经网络的车牌识别方法及*** |
CN107679525B (zh) * | 2017-11-01 | 2022-11-29 | 腾讯科技(深圳)有限公司 | 图像分类方法、装置及计算机可读存储介质 |
-
2019
- 2019-02-14 WO PCT/US2019/018119 patent/WO2019203921A1/fr unknown
- 2019-02-14 EP EP19789101.3A patent/EP3782075A4/fr active Pending
- 2019-02-14 CN CN201980016839.5A patent/CN111801689B/zh active Active
Non-Patent Citations (6)
Title |
---|
DONG PEILEI ET AL: "Mask-streaming CNN for pedestrian detection", 2017 IEEE VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), IEEE, 10 December 2017 (2017-12-10), pages 1 - 4, XP033325734, DOI: 10.1109/VCIP.2017.8305054 * |
LU KEYU ET AL: "Efficient deep network for vision-based object detection in robotic applications", NEUROCOMPUTING, vol. 245, 1 July 2017 (2017-07-01), pages 31 - 45, XP029978678, ISSN: 0925-2312, DOI: 10.1016/J.NEUCOM.2017.03.050 * |
See also references of WO2019203921A1 * |
SUDOWE PATRICK ET AL: "Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video", 20 September 2011, ICIAP: INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, 17TH INTERNATIONAL CONFERENCE, NAPLES, ITALY, SEPTEMBER 9-13, 2013. PROCEEDINGS; [LECTURE NOTES IN COMPUTER SCIENCE; LECT.NOTES COMPUTER], SPRINGER, BERLIN, HEIDELBERG, PAGE(S) 11 - 20, ISBN: 978-3-642-17318-9, XP047370157 * |
ZHANG SHANSHAN ET AL: "Towards Reaching Human Performance in Pedestrian Detection", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 40, no. 4, 1 April 2018 (2018-04-01), USA, pages 973 - 986, XP055862337, ISSN: 0162-8828, Retrieved from the Internet <URL:https://ieeexplore.ieee.org/ielx7/34/8306529/07917260.pdf?tp=&arnumber=7917260&isnumber=8306529&ref=aHR0cHM6Ly9pZWVleHBsb3JlLmllZWUub3JnL2Fic3RyYWN0L2RvY3VtZW50Lzc5MTcyNjA/Y2FzYV90b2tlbj1Mc0toVFdlUWQwc0FBQUFBOktMNGJnY1lWR052TWlTLXd0aHA4MUQwbHp6NEZFMmZlMVhYM2hZODBEZ2pEYnRwM0ZjdWlnbkppRUN6dTZoYmE4ZFpf> [retrieved on 20211116], DOI: 10.1109/TPAMI.2017.2700460 * |
ZONGQING LU ET AL: "Pedestrian detection aided by scale-discriminative network", 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), IEEE, 6 December 2016 (2016-12-06), pages 1 - 7, XP033066467, DOI: 10.1109/SSCI.2016.7850112 * |
Also Published As
Publication number | Publication date |
---|---|
CN111801689A (zh) | 2020-10-20 |
WO2019203921A1 (fr) | 2019-10-24 |
EP3782075A1 (fr) | 2021-02-24 |
CN111801689B (zh) | 2024-07-16 |
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Ipc: G06N 3/04 20060101ALI20211122BHEP Ipc: G06K 9/32 20060101ALI20211122BHEP Ipc: G06K 9/46 20060101ALI20211122BHEP Ipc: G06T 7/292 20170101ALI20211122BHEP Ipc: G06T 7/11 20170101ALI20211122BHEP Ipc: G06N 3/08 20060101ALI20211122BHEP Ipc: G06K 9/62 20060101ALI20211122BHEP Ipc: G06K 9/00 20060101ALI20211122BHEP Ipc: G06K 9/20 20060101AFI20211122BHEP |
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