JP6320112B2 - 情報処理装置、情報処理方法 - Google Patents

情報処理装置、情報処理方法 Download PDF

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JP6320112B2
JP6320112B2 JP2014066802A JP2014066802A JP6320112B2 JP 6320112 B2 JP6320112 B2 JP 6320112B2 JP 2014066802 A JP2014066802 A JP 2014066802A JP 2014066802 A JP2014066802 A JP 2014066802A JP 6320112 B2 JP6320112 B2 JP 6320112B2
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likelihood
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JP2015191334A5 (enExample
JP2015191334A (ja
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内山 寛之
寛之 内山
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Canon Inc
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Canon Inc
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Priority to CN201580016428.8A priority patent/CN106164980B/zh
Priority to PCT/JP2015/059828 priority patent/WO2015147317A1/en
Priority to EP15769968.7A priority patent/EP3092619B1/en
Priority to KR1020167029372A priority patent/KR101964397B1/ko
Priority to US15/121,899 priority patent/US10255517B2/en
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/254Fusion techniques of classification results, e.g. of results related to same input data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/254Fusion techniques of classification results, e.g. of results related to same input data
    • G06F18/256Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06V10/77Processing 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
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V10/77Processing 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
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747Organisation of the process, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V10/77Processing 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
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809Fusion, 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V10/77Processing 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
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809Fusion, 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
    • G06V10/811Fusion, 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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

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  • Engineering & Computer Science (AREA)
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JP2014066802A 2014-03-27 2014-03-27 情報処理装置、情報処理方法 Active JP6320112B2 (ja)

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Application Number Priority Date Filing Date Title
JP2014066802A JP6320112B2 (ja) 2014-03-27 2014-03-27 情報処理装置、情報処理方法
PCT/JP2015/059828 WO2015147317A1 (en) 2014-03-27 2015-03-24 Information processing apparatus and information processing method
EP15769968.7A EP3092619B1 (en) 2014-03-27 2015-03-24 Information processing apparatus and information processing method
KR1020167029372A KR101964397B1 (ko) 2014-03-27 2015-03-24 정보처리장치 및 정보처리방법
CN201580016428.8A CN106164980B (zh) 2014-03-27 2015-03-24 信息处理装置以及信息处理方法
US15/121,899 US10255517B2 (en) 2014-03-27 2015-03-24 Information processing apparatus and information processing method

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JP2015191334A5 JP2015191334A5 (enExample) 2017-05-18
JP6320112B2 true JP6320112B2 (ja) 2018-05-09

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EP (1) EP3092619B1 (enExample)
JP (1) JP6320112B2 (enExample)
KR (1) KR101964397B1 (enExample)
CN (1) CN106164980B (enExample)
WO (1) WO2015147317A1 (enExample)

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JP6912890B2 (ja) * 2017-01-13 2021-08-04 キヤノン株式会社 情報処理装置、情報処理方法、システム
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JP6508797B1 (ja) * 2019-01-17 2019-05-08 Arithmer株式会社 作業支援装置、作業支援方法、プログラム、及び対象物検知モデル。
WO2020149242A1 (ja) * 2019-01-17 2020-07-23 Arithmer株式会社 作業支援装置、作業支援方法、プログラム、及び対象物検知モデル。
JP7234718B2 (ja) * 2019-03-18 2023-03-08 富士フイルムビジネスイノベーション株式会社 情報処理装置、情報処理システム及びプログラム
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Publication number Publication date
CN106164980A (zh) 2016-11-23
KR101964397B1 (ko) 2019-04-01
CN106164980B (zh) 2020-06-30
US10255517B2 (en) 2019-04-09
EP3092619A1 (en) 2016-11-16
EP3092619A4 (en) 2017-09-20
US20170017859A1 (en) 2017-01-19
JP2015191334A (ja) 2015-11-02
EP3092619B1 (en) 2023-05-10
KR20160136391A (ko) 2016-11-29
WO2015147317A1 (en) 2015-10-01

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