GB202108377D0 - No Title - Google Patents

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Publication number
GB202108377D0
GB202108377D0 GBGB2108377.9A GB202108377A GB202108377D0 GB 202108377 D0 GB202108377 D0 GB 202108377D0 GB 202108377 A GB202108377 A GB 202108377A GB 202108377 D0 GB202108377 D0 GB 202108377D0
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GBGB2108377.9A
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GB2592829A (en
GB2592829B (en
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CETC 28 Research Institute
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CETC 28 Research Institute
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Priority claimed from CN202010099360.7A external-priority patent/CN111339871B/en
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Publication of GB2592829A publication Critical patent/GB2592829A/en
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Publication of GB2592829B publication Critical patent/GB2592829B/en
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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • 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
    • 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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/758—Involving statistics of pixels or of feature values, e.g. histogram matching
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)
GB2108377.9A 2020-02-18 2020-03-09 Method and device for judging target group distribution patterns based on convolutional neural networks Active GB2592829B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010099360.7A CN111339871B (en) 2020-02-18 2020-02-18 Target group distribution pattern studying and judging method and device based on convolutional neural network
PCT/CN2020/078350 WO2021164066A1 (en) 2020-02-18 2020-03-09 Convolutional neural network-based target group distribution mode determination method and device

Publications (3)

Publication Number Publication Date
GB202108377D0 true GB202108377D0 (en) 2021-07-28
GB2592829A GB2592829A (en) 2021-09-08
GB2592829B GB2592829B (en) 2022-03-02

Family

ID=76954381

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2108377.9A Active GB2592829B (en) 2020-02-18 2020-03-09 Method and device for judging target group distribution patterns based on convolutional neural networks

Country Status (1)

Country Link
GB (1) GB2592829B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113610039A (en) * 2021-08-17 2021-11-05 北京融合汇控科技有限公司 Cloud deck camera-based wind drift foreign matter identification method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113610039A (en) * 2021-08-17 2021-11-05 北京融合汇控科技有限公司 Cloud deck camera-based wind drift foreign matter identification method
CN113610039B (en) * 2021-08-17 2024-03-15 北京融合汇控科技有限公司 Wind drift foreign matter identification method based on cradle head camera

Also Published As

Publication number Publication date
GB2592829A (en) 2021-09-08
GB2592829B (en) 2022-03-02

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