SG11201911625YA - Target recognition method and apparatus, storage medium, and electronic device - Google Patents

Target recognition method and apparatus, storage medium, and electronic device

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Publication number
SG11201911625YA
SG11201911625YA SG11201911625YA SG11201911625YA SG11201911625YA SG 11201911625Y A SG11201911625Y A SG 11201911625YA SG 11201911625Y A SG11201911625Y A SG 11201911625YA SG 11201911625Y A SG11201911625Y A SG 11201911625YA SG 11201911625Y A SG11201911625Y A SG 11201911625YA
Authority
SG
Singapore
Prior art keywords
electronic device
storage medium
recognition method
target recognition
target
Prior art date
Application number
SG11201911625YA
Inventor
Yantao Shen
Tong Xiao
Hongsheng Li
Shuai Yi
Xiaogang Wang
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 SG11201911625YA publication Critical patent/SG11201911625YA/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • G06V20/47Detecting features for summarising video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217Validation; Performance evaluation; Active pattern learning techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/29Graphical models, e.g. Bayesian networks
    • G06F18/295Markov models or related models, e.g. semi-Markov models; Markov random fields; Networks embedding Markov models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/143Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/48Matching video sequences
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/54Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/047Probabilistic or stochastic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Neurology (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)
SG11201911625YA 2017-07-28 2018-07-27 Target recognition method and apparatus, storage medium, and electronic device SG11201911625YA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710633604.3A CN108229292A (en) 2017-07-28 2017-07-28 target identification method, device, storage medium and electronic equipment
PCT/CN2018/097374 WO2019020103A1 (en) 2017-07-28 2018-07-27 Target recognition method and apparatus, storage medium and electronic device

Publications (1)

Publication Number Publication Date
SG11201911625YA true SG11201911625YA (en) 2020-01-30

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201911625YA SG11201911625YA (en) 2017-07-28 2018-07-27 Target recognition method and apparatus, storage medium, and electronic device

Country Status (6)

Country Link
US (3) US11200682B2 (en)
JP (1) JP6893564B2 (en)
KR (1) KR102339323B1 (en)
CN (1) CN108229292A (en)
SG (1) SG11201911625YA (en)
WO (1) WO2019020103A1 (en)

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CN108229292A (en) * 2017-07-28 2018-06-29 北京市商汤科技开发有限公司 target identification method, device, storage medium and electronic equipment
CN108921811B (en) * 2018-04-03 2020-06-30 阿里巴巴集团控股有限公司 Method and device for detecting damage of article and article damage detector
CN109508787A (en) * 2018-10-16 2019-03-22 深圳大学 Neural network model training method and system for ultrasound displacement estimation
CN111160067A (en) * 2018-11-07 2020-05-15 北京奇虎科技有限公司 Danger identification method and device, electronic equipment and computer readable storage medium
CN109740479A (en) * 2018-12-25 2019-05-10 苏州科达科技股份有限公司 A kind of vehicle recognition methods, device, equipment and readable storage medium storing program for executing again
CN109726684B (en) * 2018-12-29 2021-02-19 百度在线网络技术(北京)有限公司 Landmark element acquisition method and landmark element acquisition system
US10373323B1 (en) * 2019-01-29 2019-08-06 StradVision, Inc. Method and device for merging object detection information detected by each of object detectors corresponding to each camera nearby for the purpose of collaborative driving by using V2X-enabled applications, sensor fusion via multiple vehicles
CN114080634B (en) * 2019-07-03 2024-04-26 伟摩有限责任公司 Proxy trajectory prediction using anchor trajectories
CN110443828A (en) * 2019-07-31 2019-11-12 腾讯科技(深圳)有限公司 Method for tracing object and device, storage medium and electronic device
CN110490906A (en) * 2019-08-20 2019-11-22 南京邮电大学 A kind of real-time vision method for tracking target based on twin convolutional network and shot and long term memory network
CN110728330A (en) * 2019-10-23 2020-01-24 腾讯科技(深圳)有限公司 Object identification method, device, equipment and storage medium based on artificial intelligence
CN110991413B (en) * 2019-12-20 2020-12-15 西南交通大学 Running detection method based on ReiD
CN112766301B (en) * 2020-12-11 2024-04-12 南京富岛信息工程有限公司 Oil extraction machine indicator diagram similarity judging method
CN113627260A (en) * 2021-07-12 2021-11-09 科大讯飞股份有限公司 Method, system and computing device for recognizing stroke order of handwritten Chinese characters
CN113673412B (en) * 2021-08-17 2023-09-26 驭势(上海)汽车科技有限公司 Method and device for identifying key target object, computer equipment and storage medium
CN113688776B (en) * 2021-09-06 2023-10-20 北京航空航天大学 Space-time constraint model construction method for cross-field target re-identification
CN114338974A (en) * 2021-12-02 2022-04-12 深圳市领航卫士安全技术有限公司 Multi-channel activity path determination method, device, equipment and storage medium
CN114783003B (en) * 2022-06-23 2022-09-20 之江实验室 Pedestrian re-identification method and device based on local feature attention

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CN108229292A (en) * 2017-07-28 2018-06-29 北京市商汤科技开发有限公司 target identification method, device, storage medium and electronic equipment

Also Published As

Publication number Publication date
KR102339323B1 (en) 2021-12-14
US20200005090A1 (en) 2020-01-02
US11200682B2 (en) 2021-12-14
JP2020519989A (en) 2020-07-02
US20220058812A1 (en) 2022-02-24
JP6893564B2 (en) 2021-06-23
CN108229292A (en) 2018-06-29
US20220051417A1 (en) 2022-02-17
KR20190128724A (en) 2019-11-18
WO2019020103A1 (en) 2019-01-31

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