EP4330933A4 - Systèmes et procédés de détection d'objet - Google Patents

Systèmes et procédés de détection d'objet Download PDF

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Publication number
EP4330933A4
EP4330933A4 EP21951663.0A EP21951663A EP4330933A4 EP 4330933 A4 EP4330933 A4 EP 4330933A4 EP 21951663 A EP21951663 A EP 21951663A EP 4330933 A4 EP4330933 A4 EP 4330933A4
Authority
EP
European Patent Office
Prior art keywords
systems
methods
object recognition
recognition
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
Application number
EP21951663.0A
Other languages
German (de)
English (en)
Other versions
EP4330933A1 (fr
Inventor
Wei Zou
Lifeng Wu
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.)
Zhejiang Dahua Technology Co Ltd
Original Assignee
Zhejiang Dahua Technology 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 Zhejiang Dahua Technology Co Ltd filed Critical Zhejiang Dahua Technology Co Ltd
Publication of EP4330933A1 publication Critical patent/EP4330933A1/fr
Publication of EP4330933A4 publication Critical patent/EP4330933A4/fr
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/253—Fusion techniques of extracted features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/803—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
    • G06V10/811—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data the classifiers operating on different input data, e.g. multi-modal recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Image Analysis (AREA)
EP21951663.0A 2021-07-30 2021-12-06 Systèmes et procédés de détection d'objet Pending EP4330933A4 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110875131.4A CN113673584A (zh) 2021-07-30 2021-07-30 一种图像检测方法及相关装置
PCT/CN2021/135789 WO2023005091A1 (fr) 2021-07-30 2021-12-06 Systèmes et procédés de détection d'objet

Publications (2)

Publication Number Publication Date
EP4330933A1 EP4330933A1 (fr) 2024-03-06
EP4330933A4 true EP4330933A4 (fr) 2024-10-30

Family

ID=78540910

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21951663.0A Pending EP4330933A4 (fr) 2021-07-30 2021-12-06 Systèmes et procédés de détection d'objet

Country Status (3)

Country Link
EP (1) EP4330933A4 (fr)
CN (1) CN113673584A (fr)
WO (1) WO2023005091A1 (fr)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113673584A (zh) * 2021-07-30 2021-11-19 浙江大华技术股份有限公司 一种图像检测方法及相关装置
CN114220030A (zh) * 2021-12-16 2022-03-22 成都睿沿芯创科技有限公司 对象检测方法、装置、设备及存储介质
CN115376125B (zh) * 2022-09-26 2025-12-12 安徽农业大学 一种基于多模态数据融合的目标检测方法以及基于目标检测模型的在体果实采摘方法
CN115578370B (zh) * 2022-10-28 2023-05-09 深圳市铱硙医疗科技有限公司 一种基于脑影像的代谢区域异常检测方法及装置
CN115713648A (zh) * 2022-11-02 2023-02-24 科大讯飞股份有限公司 基于多模态图像的目标感知方法、目标感知系统及设备
CN116051438B (zh) * 2022-12-20 2026-04-21 深圳供电局有限公司 图像融合方法及装置、计算机设备和可读存储介质
CN116206366A (zh) * 2023-02-22 2023-06-02 国家石油天然气管网集团有限公司 一种异常状态识别方法、系统、存储介质和电子设备
CN116432435B (zh) * 2023-03-29 2024-02-09 浙江大学 一种基于显微视觉的微力估计方法
CN116630680B (zh) * 2023-04-06 2024-02-06 南方医科大学南方医院 一种x线摄影联合超声的双模态影像分类方法及系统
CN116448329B (zh) * 2023-04-11 2026-04-21 深圳供电局有限公司 油滴泄露检测方法、装置、计算机设备和存储介质
CN116757997A (zh) * 2023-04-19 2023-09-15 深圳供电局有限公司 挂空异物检测方法、系统和计算机可读存储介质
CN117132519B (zh) * 2023-10-23 2024-03-12 江苏华鲲振宇智能科技有限责任公司 基于vpx总线多传感器图像融合处理模块

Citations (1)

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CN111462128A (zh) * 2020-05-28 2020-07-28 南京大学 一种基于多模态光谱图像的像素级图像分割系统及方法

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US9633282B2 (en) * 2015-07-30 2017-04-25 Xerox Corporation Cross-trained convolutional neural networks using multimodal images
CN111242959B (zh) * 2020-01-15 2023-06-16 中国科学院苏州生物医学工程技术研究所 基于卷积神经网络的多模态医学图像的目标区域提取方法
CN111382683B (zh) * 2020-03-02 2023-05-23 东南大学 一种基于彩色相机与红外热成像仪特征融合的目标检测方法
CN111738314B (zh) * 2020-06-09 2021-11-02 南通大学 基于浅层融合的多模态图像能见度检测模型的深度学习方法
CN112862860B (zh) * 2021-02-07 2023-08-01 天津大学 一种用于多模态目标跟踪的对象感知图像融合方法
CN112949507B (zh) * 2021-03-08 2024-05-10 平安科技（深圳）有限公司 人脸检测方法、装置、计算机设备及存储介质
CN113673584A (zh) * 2021-07-30 2021-11-19 浙江大华技术股份有限公司 一种图像检测方法及相关装置

Patent Citations (1)

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CN111462128A (zh) * 2020-05-28 2020-07-28 南京大学 一种基于多模态光谱图像的像素级图像分割系统及方法

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CHENGYANG LI ET AL: "Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 14 March 2018 (2018-03-14), XP081177521 *
See also references of WO2023005091A1 *

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Publication number Publication date
EP4330933A1 (fr) 2024-03-06
CN113673584A (zh) 2021-11-19
WO2023005091A1 (fr) 2023-02-02

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