JP6767541B2 - 画像フレームのピクセル位置が背景に属しているか前景に属しているかを判定する方法、デバイスおよびシステム - Google Patents

画像フレームのピクセル位置が背景に属しているか前景に属しているかを判定する方法、デバイスおよびシステム Download PDF

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JP6767541B2
JP6767541B2 JP2019106004A JP2019106004A JP6767541B2 JP 6767541 B2 JP6767541 B2 JP 6767541B2 JP 2019106004 A JP2019106004 A JP 2019106004A JP 2019106004 A JP2019106004 A JP 2019106004A JP 6767541 B2 JP6767541 B2 JP 6767541B2
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JP2020024675A (ja
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ヤコブ グランドストレム，
ヤコブ グランドストレム，
ヨアキム バルッセン，
ヨアキム バルッセン，
サイモン モリン，
サイモン モリン，
ハンナ ビュオグヴィンスドッティル，
ハンナ ビュオグヴィンスドッティル，
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アクシス アーベー
アクシス アーベー
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/254—Analysis of motion involving subtraction of images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/49—Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
    • 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

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  • Image Analysis (AREA)
JP2019106004A 2018-06-14 2019-06-06 画像フレームのピクセル位置が背景に属しているか前景に属しているかを判定する方法、デバイスおよびシステム Active JP6767541B2 (ja)

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EP18177775.6 2018-06-14
EP18177775.6A EP3582181B1 (en) 2018-06-14 2018-06-14 Method, device and system for determining whether pixel positions in an image frame belong to a background or a foreground

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JP2020024675A5 JP2020024675A5 (enExample) 2020-06-25
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US (1) US10726561B2 (enExample)
EP (1) EP3582181B1 (enExample)
JP (1) JP6767541B2 (enExample)
KR (1) KR102107334B1 (enExample)
CN (1) CN110610507B (enExample)
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US10839222B2 (en) * 2018-09-24 2020-11-17 Apical Limited Video data processing
JP7121277B2 (ja) * 2018-09-28 2022-08-18 日本電信電話株式会社 情報同期装置、情報同期方法及び情報同期プログラム
EP3800615B1 (en) * 2019-10-01 2024-11-27 Axis AB Method and device for image analysis
CN111429472B (zh) * 2020-03-16 2023-11-03 阿波罗智联(北京)科技有限公司 图像的识别方法、装置、电子设备和存储介质
JP7475959B2 (ja) 2020-05-20 2024-04-30 キヤノン株式会社 画像処理装置、画像処理方法、及びプログラム
CN112348842B (zh) * 2020-11-03 2023-07-28 中国航空工业集团公司北京长城航空测控技术研究所 一种从视频中自动快速获取场景背景的处理方法
TWI839650B (zh) * 2021-10-25 2024-04-21 美商學觀有限責任公司 基於數位資料的評分裝置及方法

Family Cites Families (21)

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Publication number Priority date Publication date Assignee Title
US20060067562A1 (en) * 2004-09-30 2006-03-30 The Regents Of The University Of California Detection of moving objects in a video
GB0424030D0 (en) * 2004-10-28 2004-12-01 British Telecomm A method and system for processing video data
US20060210159A1 (en) * 2005-03-15 2006-09-21 Yea-Shuan Huang Foreground extraction approach by using color and local structure information
EP2015252B1 (en) * 2007-07-08 2010-02-17 Université de Liège Visual background extractor
JP5045371B2 (ja) 2007-10-30 2012-10-10 Ｋｄｄｉ株式会社 動画像の各画素の前景背景分類装置、方法及びプログラム
US8285046B2 (en) 2009-02-18 2012-10-09 Behavioral Recognition Systems, Inc. Adaptive update of background pixel thresholds using sudden illumination change detection
US8571261B2 (en) * 2009-04-22 2013-10-29 Checkvideo Llc System and method for motion detection in a surveillance video
JP4922472B1 (ja) * 2011-09-29 2012-04-25 楽天株式会社 情報処理装置、情報処理方法、情報処理装置用プログラム、および、記録媒体
US9530221B2 (en) 2012-01-06 2016-12-27 Pelco, Inc. Context aware moving object detection
JP6041515B2 (ja) * 2012-04-11 2016-12-07 キヤノン株式会社 画像処理装置および画像処理方法
US9412025B2 (en) * 2012-11-28 2016-08-09 Siemens Schweiz Ag Systems and methods to classify moving airplanes in airports
US9584814B2 (en) * 2014-05-15 2017-02-28 Intel Corporation Content adaptive background foreground segmentation for video coding
CN105825502B (zh) * 2016-03-12 2018-06-15 浙江大学 一种基于显著性指导的词典学习的弱监督图像解析方法
US10375399B2 (en) * 2016-04-20 2019-08-06 Qualcomm Incorporated Methods and systems of generating a background picture for video coding
EP3246874B1 (en) 2016-05-16 2018-03-14 Axis AB Method and apparatus for updating a background model used for background subtraction of an image
EP3255585B1 (en) * 2016-06-08 2018-05-09 Axis AB Method and apparatus for updating a background model
US10301041B2 (en) * 2016-06-09 2019-05-28 California Institute Of Technology Systems and methods for tracking moving objects
US20180144476A1 (en) * 2016-11-23 2018-05-24 Qualcomm Incorporated Cascaded-time-scale background modeling
CN106897984B (zh) * 2017-01-05 2019-08-16 浙江大学 一种面向静态相机的非线性背景模型更新方法
EP3438929B1 (en) * 2017-08-04 2020-07-08 Université de Liège Foreground and background detection method
TWI668669B (zh) * 2018-05-31 2019-08-11 國立中央大學 物件追蹤系統及方法

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EP3582181A1 (en) 2019-12-18
EP3582181B1 (en) 2020-04-01
JP2020024675A (ja) 2020-02-13
US10726561B2 (en) 2020-07-28
TWI726321B (zh) 2021-05-01
TW202018666A (zh) 2020-05-16
CN110610507B (zh) 2021-04-30
KR102107334B1 (ko) 2020-05-06
KR20190141577A (ko) 2019-12-24
CN110610507A (zh) 2019-12-24
US20190385312A1 (en) 2019-12-19

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