GB2554948B - Video monitoring using machine learning - Google Patents

Video monitoring using machine learning Download PDF

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Publication number
GB2554948B
GB2554948B GB1617566.3A GB201617566A GB2554948B GB 2554948 B GB2554948 B GB 2554948B GB 201617566 A GB201617566 A GB 201617566A GB 2554948 B GB2554948 B GB 2554948B
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United Kingdom
Prior art keywords
machine learning
video monitoring
video
monitoring
learning
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.)
Active
Application number
GB1617566.3A
Other versions
GB2554948A (en
GB201617566D0 (en
GB2554948B8 (en
Inventor
Rashid Mohammed
Ploix Boris
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.)
Calipsa Ltd
Original Assignee
Calipsa 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 Calipsa Ltd filed Critical Calipsa Ltd
Priority to GB1617566.3A priority Critical patent/GB2554948B8/en
Publication of GB201617566D0 publication Critical patent/GB201617566D0/en
Publication of GB2554948A publication Critical patent/GB2554948A/en
Publication of GB2554948B publication Critical patent/GB2554948B/en
Application granted granted Critical
Publication of GB2554948B8 publication Critical patent/GB2554948B8/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural 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
    • G06N3/044Recurrent 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
    • G06N3/08Learning 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/44Event detection
GB1617566.3A 2016-10-17 2016-10-17 Video monitoring using machine learning Active GB2554948B8 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB1617566.3A GB2554948B8 (en) 2016-10-17 2016-10-17 Video monitoring using machine learning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1617566.3A GB2554948B8 (en) 2016-10-17 2016-10-17 Video monitoring using machine learning

Publications (4)

Publication Number Publication Date
GB201617566D0 GB201617566D0 (en) 2016-11-30
GB2554948A GB2554948A (en) 2018-04-18
GB2554948B true GB2554948B (en) 2022-01-19
GB2554948B8 GB2554948B8 (en) 2022-02-09

Family

ID=57680634

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1617566.3A Active GB2554948B8 (en) 2016-10-17 2016-10-17 Video monitoring using machine learning

Country Status (1)

Country Link
GB (1) GB2554948B8 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB201713977D0 (en) * 2017-08-31 2017-10-18 Calipsa Ltd Anomaly detection
US11232327B2 (en) 2019-06-19 2022-01-25 Western Digital Technologies, Inc. Smart video surveillance system using a neural network engine

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1995016252A1 (en) * 1993-12-08 1995-06-15 Minnesota Mining And Manufacturing Company Method and apparatus for machine vision classification and tracking
WO2009070560A1 (en) * 2007-11-29 2009-06-04 Nec Laboratories America, Inc. Efficient multi-hypothesis multi-human 3d tracking in crowded scenes
US20110052000A1 (en) * 2009-08-31 2011-03-03 Wesley Kenneth Cobb Detecting anomalous trajectories in a video surveillance system
WO2015000192A1 (en) * 2013-07-02 2015-01-08 深圳市华星光电技术有限公司 Air floatation guide wheel conveyer for liquid crystal panel
CN105160313A (en) * 2014-09-15 2015-12-16 中国科学院重庆绿色智能技术研究院 Method and apparatus for crowd behavior analysis in video monitoring
CN105184271A (en) * 2015-09-18 2015-12-23 苏州派瑞雷尔智能科技有限公司 Automatic vehicle detection method based on deep learning
CN105447458A (en) * 2015-11-17 2016-03-30 深圳市商汤科技有限公司 Large scale crowd video analysis system and method thereof
WO2016102733A1 (en) * 2014-12-23 2016-06-30 Universidad De Málaga Computer vision system and method for the detection of anomalous objects (pedestrians or animals) on roads or motorways

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1995016252A1 (en) * 1993-12-08 1995-06-15 Minnesota Mining And Manufacturing Company Method and apparatus for machine vision classification and tracking
WO2009070560A1 (en) * 2007-11-29 2009-06-04 Nec Laboratories America, Inc. Efficient multi-hypothesis multi-human 3d tracking in crowded scenes
US20110052000A1 (en) * 2009-08-31 2011-03-03 Wesley Kenneth Cobb Detecting anomalous trajectories in a video surveillance system
WO2015000192A1 (en) * 2013-07-02 2015-01-08 深圳市华星光电技术有限公司 Air floatation guide wheel conveyer for liquid crystal panel
CN105160313A (en) * 2014-09-15 2015-12-16 中国科学院重庆绿色智能技术研究院 Method and apparatus for crowd behavior analysis in video monitoring
WO2016102733A1 (en) * 2014-12-23 2016-06-30 Universidad De Málaga Computer vision system and method for the detection of anomalous objects (pedestrians or animals) on roads or motorways
CN105184271A (en) * 2015-09-18 2015-12-23 苏州派瑞雷尔智能科技有限公司 Automatic vehicle detection method based on deep learning
CN105447458A (en) * 2015-11-17 2016-03-30 深圳市商汤科技有限公司 Large scale crowd video analysis system and method thereof

Also Published As

Publication number Publication date
GB2554948A (en) 2018-04-18
GB201617566D0 (en) 2016-11-30
GB2554948B8 (en) 2022-02-09

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