GB202007623D0 - Identifying at least one object within an image - Google Patents

Identifying at least one object within an image

Info

Publication number
GB202007623D0
GB202007623D0 GBGB2007623.8A GB202007623A GB202007623D0 GB 202007623 D0 GB202007623 D0 GB 202007623D0 GB 202007623 A GB202007623 A GB 202007623A GB 202007623 D0 GB202007623 D0 GB 202007623D0
Authority
GB
United Kingdom
Prior art keywords
identifying
image
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
GBGB2007623.8A
Other versions
GB2585487A (en
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.)
Headlight Ai Ltd
Original Assignee
Headlight Ai 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 Headlight Ai Ltd filed Critical Headlight Ai Ltd
Publication of GB202007623D0 publication Critical patent/GB202007623D0/en
Publication of GB2585487A publication Critical patent/GB2585487A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2136—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on sparsity criteria, e.g. with an overcomplete basis
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
GB2007623.8A 2019-05-21 2020-05-21 Identifying at least one object within an image Pending GB2585487A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GBGB1907152.1A GB201907152D0 (en) 2019-05-21 2019-05-21 Identifying at leasr one object within an image

Publications (2)

Publication Number Publication Date
GB202007623D0 true GB202007623D0 (en) 2020-07-08
GB2585487A GB2585487A (en) 2021-01-13

Family

ID=67385169

Family Applications (2)

Application Number Title Priority Date Filing Date
GBGB1907152.1A Ceased GB201907152D0 (en) 2019-05-21 2019-05-21 Identifying at leasr one object within an image
GB2007623.8A Pending GB2585487A (en) 2019-05-21 2020-05-21 Identifying at least one object within an image

Family Applications Before (1)

Application Number Title Priority Date Filing Date
GBGB1907152.1A Ceased GB201907152D0 (en) 2019-05-21 2019-05-21 Identifying at leasr one object within an image

Country Status (2)

Country Link
GB (2) GB201907152D0 (en)
WO (1) WO2020234602A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113449611B (en) * 2021-06-15 2023-07-07 电子科技大学 Helmet recognition intelligent monitoring system based on YOLO network compression algorithm

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105139028B (en) * 2015-08-13 2018-05-25 西安电子科技大学 SAR image sorting technique based on layering sparseness filtering convolutional neural networks
CN106096656A (en) * 2016-06-07 2016-11-09 中国科学院合肥物质科学研究院 A kind of soil near-infrared spectral analytical method based on rarefaction representation and BP nerual network technique
US10148872B2 (en) * 2017-02-07 2018-12-04 Intel Corporation Image difference based segmentation using recursive neural networks
CN108121991B (en) * 2018-01-06 2022-11-15 北京航空航天大学 Deep learning ship target detection method based on edge candidate region extraction
CN109344898A (en) * 2018-09-30 2019-02-15 北京工业大学 Convolutional neural networks image classification method based on sparse coding pre-training

Also Published As

Publication number Publication date
WO2020234602A1 (en) 2020-11-26
GB201907152D0 (en) 2019-07-03
GB2585487A (en) 2021-01-13

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