JP6879894B2 - 物体の流動の状態を求めるシステム及び方法、並びに非一時的コンピューター可読記憶媒体 - Google Patents

物体の流動の状態を求めるシステム及び方法、並びに非一時的コンピューター可読記憶媒体 Download PDF

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JP6879894B2
JP6879894B2 JP2017240590A JP2017240590A JP6879894B2 JP 6879894 B2 JP6879894 B2 JP 6879894B2 JP 2017240590 A JP2017240590 A JP 2017240590A JP 2017240590 A JP2017240590 A JP 2017240590A JP 6879894 B2 JP6879894 B2 JP 6879894B2
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ハッサン・マンソール
ムハシーン・ベノスマン
ヴァホン・ヒューロイアン
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    • 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
    • G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/215—Motion-based segmentation
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    • G06V10/00—Arrangements for image or video recognition or understanding
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30241—Trajectory

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JP2017240590A 2017-01-12 2017-12-15 物体の流動の状態を求めるシステム及び方法、並びに非一時的コンピューター可読記憶媒体 Active JP6879894B2 (ja)

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US15/404,296 2017-01-12
US15/404,296 US10210398B2 (en) 2017-01-12 2017-01-12 Methods and systems for predicting flow of crowds from limited observations

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JP2018113026A JP2018113026A (ja) 2018-07-19
JP2018113026A5 JP2018113026A5 (enExample) 2020-10-22
JP6879894B2 true JP6879894B2 (ja) 2021-06-02

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Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10251090B2 (en) * 2017-03-14 2019-04-02 Cubic Corporation System and method for modifying a wireless communication object
US10579788B2 (en) * 2017-08-17 2020-03-03 Waymo Llc Recognizing assigned passengers for autonomous vehicles
JP6966395B2 (ja) * 2018-08-23 2021-11-17 株式会社日立製作所 最適化システム及び最適化方法
US10705408B2 (en) * 2018-10-17 2020-07-07 Sony Corporation Electronic device to autofocus on objects of interest within field-of-view of electronic device
US10909387B2 (en) * 2019-03-28 2021-02-02 Mitsubishi Electric Research Laboratories, Inc. Method and system for predicting dynamical flows from control inputs and limited observations
JP7160209B2 (ja) * 2019-08-22 2022-10-25 日本電信電話株式会社 人数推定装置、人数推定方法、及び人数推定プログラム
US11106904B2 (en) * 2019-11-20 2021-08-31 Omron Corporation Methods and systems for forecasting crowd dynamics
JP2023090405A (ja) * 2021-12-17 2023-06-29 富士通株式会社 予測プログラム、予測方法、予測装置、および予測システム
CN114626302B (zh) * 2022-03-18 2024-11-29 杭州勒贝格智能系统有限责任公司 基于Koopman算子和机器学习的信道预测方法、系统、终端及介质
CN115001022B (zh) * 2022-06-30 2025-09-02 青海黄河上游水电开发有限责任公司 基于数据驱动电压反馈的光伏电站双层自动发电控制方法

Family Cites Families (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5835008A (en) * 1995-11-28 1998-11-10 Colemere, Jr.; Dale M. Driver, vehicle and traffic information system
US20030014379A1 (en) * 1999-07-01 2003-01-16 Isaac Saias Adaptive and reliable system and method for operations management
US20030053658A1 (en) * 2001-06-29 2003-03-20 Honeywell International Inc. Surveillance system and methods regarding same
US20030167135A1 (en) * 2001-12-19 2003-09-04 Camitro Corporation Non-linear modelling of biological activity of chemical compounds
US7595817B1 (en) 2003-02-12 2009-09-29 The Research Foundation Of State University Of New York Linear system based, qualitative independent motion detection from compressed MPEG surveillance video
US20050254546A1 (en) 2004-05-12 2005-11-17 General Electric Company System and method for segmenting crowded environments into individual objects
US7418113B2 (en) * 2005-04-01 2008-08-26 Porikli Fatih M Tracking objects in low frame rate videos
JP2007257148A (ja) * 2006-03-22 2007-10-04 Nissan Motor Co Ltd 画像処理装置及び方法
JP4429298B2 (ja) * 2006-08-17 2010-03-10 独立行政法人産業技術総合研究所 対象個数検出装置および対象個数検出方法
JP2008203992A (ja) * 2007-02-16 2008-09-04 Omron Corp 検出装置および方法、並びに、プログラム
CN101325690A (zh) 2007-06-12 2008-12-17 上海正电科技发展有限公司 监控视频流中人流分析与人群聚集过程的检测方法及系统
US8358806B2 (en) 2007-08-02 2013-01-22 Siemens Corporation Fast crowd segmentation using shape indexing
EP2368216B1 (de) * 2008-10-10 2012-12-26 ADC Automotive Distance Control Systems GmbH Verfahren und einrichtung zur analyse von umgebungsobjekten und/oder umgebungsszenen, wie zur objekt- und szenenklassensegmentierung
US20110205359A1 (en) * 2010-02-19 2011-08-25 Panasonic Corporation Video surveillance system
US9472097B2 (en) * 2010-11-15 2016-10-18 Image Sensing Systems, Inc. Roadway sensing systems
US9275472B2 (en) * 2011-11-18 2016-03-01 Disney Enterprises, Inc. Real-time player detection from a single calibrated camera
US10099614B2 (en) * 2011-11-28 2018-10-16 Magna Electronics Inc. Vision system for vehicle
TWI448977B (zh) * 2011-12-08 2014-08-11 Ind Tech Res Inst 基於視訊分析的物件計數方法與裝置
KR101346773B1 (ko) 2012-03-09 2013-12-31 고려대학교 산학협력단 Ｈ.264 압축영역에서의 비정상 군중행동 탐지 및 분석 방법
CN103235944A (zh) 2013-05-15 2013-08-07 青岛科技大学 人群流分割及人群流异常行为识别方法
US9342982B2 (en) * 2013-09-09 2016-05-17 International Business Machines Corporation Traffic control agency deployment and signal optimization for event planning
US9794525B2 (en) * 2014-03-25 2017-10-17 Ecole Polytechnique Federale De Lausanne (Epfl) Systems and methods for tracking interacting objects
US9600896B1 (en) * 2015-11-04 2017-03-21 Mitsubishi Electric Research Laboratories, Inc. Method and system for segmenting pedestrian flows in videos

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JP2018113026A (ja) 2018-07-19
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