SG10202003089VA - Object recognition system and object recognition method - Google Patents

Object recognition system and object recognition method

Info

Publication number
SG10202003089VA
SG10202003089VA SG10202003089VA SG10202003089VA SG10202003089VA SG 10202003089V A SG10202003089V A SG 10202003089VA SG 10202003089V A SG10202003089V A SG 10202003089VA SG 10202003089V A SG10202003089V A SG 10202003089VA SG 10202003089V A SG10202003089V A SG 10202003089VA
Authority
SG
Singapore
Prior art keywords
object recognition
recognition system
recognition method
recognition
Prior art date
Application number
SG10202003089VA
Inventor
FUKUDA Shun
Klinkigt Martin
Hiroike Atsushi
Tarui Toshiaki
Original Assignee
Hitachi 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 Hitachi Ltd filed Critical Hitachi Ltd
Publication of SG10202003089VA publication Critical patent/SG10202003089VA/en

Links

Classifications

    • 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
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • 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
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • 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
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2178—Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/285—Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
    • 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
    • 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
    • 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
    • G06V10/56—Extraction of image or video features relating to colour
    • 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
    • G06V10/87—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using selection of the recognition techniques, e.g. of a classifier in a multiple classifier system
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08—Detecting or categorising vehicles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10—Recognition assisted with metadata
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/179—Human faces, e.g. facial parts, sketches or expressions metadata assisted face recognition
SG10202003089VA 2019-04-09 2020-04-02 Object recognition system and object recognition method SG10202003089VA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2019074330A JP7231464B2 (en) 2019-04-09 2019-04-09 Object recognition system and object recognition method

Publications (1)

Publication Number Publication Date
SG10202003089VA true SG10202003089VA (en) 2020-11-27

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG10202003089VA SG10202003089VA (en) 2019-04-09 2020-04-02 Object recognition system and object recognition method

Country Status (5)

Country Link
US (1) US11521021B2 (en)
EP (1) EP3723000A1 (en)
JP (1) JP7231464B2 (en)
CN (1) CN111797672B (en)
SG (1) SG10202003089VA (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI697851B (en) * 2019-05-03 2020-07-01 宏碁股份有限公司 Electronic device and model updating method
CN112819176B (en) * 2021-01-22 2022-11-08 烽火通信科技股份有限公司 Data management method and data management device suitable for machine learning
CN113313098B (en) * 2021-07-30 2022-01-04 阿里云计算有限公司 Video processing method, device, system and storage medium
JPWO2023013081A1 (en) * 2021-08-06 2023-02-09

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4392089B2 (en) 1999-05-27 2009-12-24 株式会社デンソー Neuron, hierarchical neural network configured using the neuron, and multiplication circuit used for multiplication processing inside the neuron
US20050129306A1 (en) * 2003-12-12 2005-06-16 Xianglin Wang Method and apparatus for image deinterlacing using neural networks
US9928410B2 (en) * 2014-11-24 2018-03-27 Samsung Electronics Co., Ltd. Method and apparatus for recognizing object, and method and apparatus for training recognizer
CN105891215B (en) 2016-03-31 2019-01-29 浙江工业大学 Welding visible detection method and device based on convolutional neural networks
JP2018026040A (en) * 2016-08-12 2018-02-15 キヤノン株式会社 Information processing apparatus and information processing method
CN106529402B (en) 2016-09-27 2019-05-28 中国科学院自动化研究所 The face character analysis method of convolutional neural networks based on multi-task learning
US20180157972A1 (en) * 2016-12-02 2018-06-07 Apple Inc. Partially shared neural networks for multiple tasks
CN106934392B (en) 2017-02-28 2020-05-26 西交利物浦大学 Vehicle logo identification and attribute prediction method based on multi-task learning convolutional neural network
JP7023613B2 (en) * 2017-05-11 2022-02-22 キヤノン株式会社 Image recognition device and learning device
JP6729516B2 (en) * 2017-07-27 2020-07-22 トヨタ自動車株式会社 Identification device
US10970564B2 (en) * 2017-09-30 2021-04-06 Tusimple, Inc. System and method for instance-level lane detection for autonomous vehicle control
JP6392478B1 (en) 2018-04-26 2018-09-19 株式会社 ディー・エヌ・エー Information processing apparatus, information processing program, and information processing method
US10776626B1 (en) * 2018-05-14 2020-09-15 Amazon Technologies, Inc. Machine learning based identification of visually complementary item collections

Also Published As

Publication number Publication date
US20200327380A1 (en) 2020-10-15
JP7231464B2 (en) 2023-03-01
CN111797672A (en) 2020-10-20
US11521021B2 (en) 2022-12-06
JP2020173562A (en) 2020-10-22
CN111797672B (en) 2024-04-05
EP3723000A1 (en) 2020-10-14

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