AU2013213659B2 - Method and system for using fingerprints to track moving objects in video - Google Patents

Method and system for using fingerprints to track moving objects in video Download PDF

Info

Publication number
AU2013213659B2
AU2013213659B2 AU2013213659A AU2013213659A AU2013213659B2 AU 2013213659 B2 AU2013213659 B2 AU 2013213659B2 AU 2013213659 A AU2013213659 A AU 2013213659A AU 2013213659 A AU2013213659 A AU 2013213659A AU 2013213659 B2 AU2013213659 B2 AU 2013213659B2
Authority
AU
Australia
Prior art keywords
segments
segment
image
master
motion
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
AU2013213659A
Other languages
English (en)
Other versions
AU2013213659A1 (en
Inventor
Kyungnam Kim
Terrell Nathan Mundhenk
Yuri Owechko
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.)
Boeing Co
Original Assignee
Boeing Co
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 Boeing Co filed Critical Boeing Co
Publication of AU2013213659A1 publication Critical patent/AU2013213659A1/en
Application granted granted Critical
Publication of AU2013213659B2 publication Critical patent/AU2013213659B2/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • 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
    • G06T7/10—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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G06T7/251—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving models
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/387—Composing, repositioning or otherwise geometrically modifying originals
    • 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
    • G06T2207/10048—Infrared image
    • 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
    • G06T2207/10132—Ultrasound image
    • 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
    • G06T2207/20076—Probabilistic image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/758—Involving statistics of pixels or of feature values, e.g. histogram matching

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Image Analysis (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Studio Devices (AREA)
AU2013213659A 2012-09-28 2013-08-06 Method and system for using fingerprints to track moving objects in video Active AU2013213659B2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/631,726 US8811670B2 (en) 2012-09-28 2012-09-28 Method and system for using fingerprints to track moving objects in video
US13/631,726 2012-09-28

Publications (2)

Publication Number Publication Date
AU2013213659A1 AU2013213659A1 (en) 2014-04-17
AU2013213659B2 true AU2013213659B2 (en) 2018-06-07

Family

ID=49223564

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2013213659A Active AU2013213659B2 (en) 2012-09-28 2013-08-06 Method and system for using fingerprints to track moving objects in video

Country Status (8)

Country Link
US (1) US8811670B2 (enExample)
EP (1) EP2713308B1 (enExample)
JP (1) JP6650657B2 (enExample)
KR (1) KR102069390B1 (enExample)
CN (1) CN103716687B (enExample)
AU (1) AU2013213659B2 (enExample)
BR (1) BR102013024785B1 (enExample)
RU (1) RU2013143669A (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9036910B1 (en) 2012-09-28 2015-05-19 The Boeing Company Method and system for processing a sequence of images using fingerprints
US9429425B2 (en) 2013-03-05 2016-08-30 Here Global B.V. Aerial image collection
JP6278752B2 (ja) * 2014-03-05 2018-02-14 株式会社キーエンス 形状検査装置及び形状検査方法
US9639807B2 (en) * 2014-06-10 2017-05-02 Jose Oriol Lopez Berengueres Method and system for forecasting future events
US9940726B2 (en) 2014-12-19 2018-04-10 The Boeing Company System and method to improve object tracking using tracking fingerprints
US9791541B2 (en) 2014-12-19 2017-10-17 The Boeing Company System and method to improve object tracking using multiple tracking systems
DE102015002923B4 (de) * 2015-03-06 2023-01-12 Mekra Lang Gmbh & Co. Kg Anzeigeeinrichtung für ein Fahrzeug insbesondere Nutzfahrzeug
US9483839B1 (en) 2015-05-06 2016-11-01 The Boeing Company Occlusion-robust visual object fingerprinting using fusion of multiple sub-region signatures
KR102334767B1 (ko) * 2015-07-23 2021-12-02 한화테크윈 주식회사 네트워크 카메라 제어 장치 및 방법
US9495763B1 (en) 2015-09-28 2016-11-15 International Business Machines Corporation Discovering object pathways in a camera network
WO2018204120A1 (en) * 2017-05-02 2018-11-08 Hrl Laboratories, Llc System and method for detecting moving obstacles based on sensory prediction from ego-motion
US10460156B2 (en) 2018-03-06 2019-10-29 Sony Corporation Automated tracking and retaining of an articulated object in a sequence of image frames
CN109214315A (zh) * 2018-08-21 2019-01-15 北京深瞐科技有限公司 人车跨镜头追踪方法及装置
JP2022523564A (ja) 2019-03-04 2022-04-25 アイオーカレンツ， インコーポレイテッド 機械学習を使用するデータ圧縮および通信
US11734907B2 (en) * 2020-04-24 2023-08-22 Humanising Autonomy Limited Tracking vulnerable road users across image frames using fingerprints obtained from image analysis
US11430221B2 (en) * 2020-09-11 2022-08-30 Sensormatic Electronics, LLC Enhancing detection of occluded objects in a multiple object detection system
US11983883B2 (en) 2020-12-15 2024-05-14 The Boeing Company Intensity-based image modification for computer vision
US12086970B2 (en) 2020-12-17 2024-09-10 The Boeing Company Intensity thresholding-based image modification for computer vision
CN113891012B (zh) * 2021-09-17 2024-05-28 天津极豪科技有限公司 一种图像处理方法、装置、设备以及存储介质

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030219146A1 (en) * 2002-05-23 2003-11-27 Jepson Allan D. Visual motion analysis method for detecting arbitrary numbers of moving objects in image sequences
WO2012065184A2 (en) * 2010-11-12 2012-05-18 Nextnav, Llc Wide area positioning system

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000222584A (ja) * 1999-01-29 2000-08-11 Toshiba Corp 映像情報記述方法、映像検索方法及び映像検索装置
US7886365B2 (en) * 2002-06-11 2011-02-08 Panasonic Corporation Content-log analyzing system and data-communication controlling device
AU2005328364A1 (en) * 2004-06-01 2006-09-08 Lumidigm, Inc. Multispectral imaging biometrics
JP4768544B2 (ja) * 2006-08-10 2011-09-07 株式会社東芝 目標検出追随装置
CA2734613C (en) * 2008-08-19 2020-06-09 Digimarc Corporation Methods and systems for content processing
GB0818561D0 (en) 2008-10-09 2008-11-19 Isis Innovation Visual tracking of objects in images, and segmentation of images
JP5103665B2 (ja) * 2008-10-24 2012-12-19 国立大学法人広島大学 物体追跡装置および物体追跡方法
JP4715909B2 (ja) * 2008-12-04 2011-07-06 ソニー株式会社 画像処理装置及び方法、画像処理システム、並びに、画像処理プログラム
JP5214533B2 (ja) * 2009-05-21 2013-06-19 富士フイルム株式会社 人物追跡方法、人物追跡装置および人物追跡プログラム
US8116527B2 (en) * 2009-10-07 2012-02-14 The United States Of America As Represented By The Secretary Of The Army Using video-based imagery for automated detection, tracking, and counting of moving objects, in particular those objects having image characteristics similar to background
US8731239B2 (en) * 2009-12-09 2014-05-20 Disney Enterprises, Inc. Systems and methods for tracking objects under occlusion
US8620026B2 (en) * 2011-04-13 2013-12-31 International Business Machines Corporation Video-based detection of multiple object types under varying poses
US8498448B2 (en) * 2011-07-15 2013-07-30 International Business Machines Corporation Multi-view object detection using appearance model transfer from similar scenes

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030219146A1 (en) * 2002-05-23 2003-11-27 Jepson Allan D. Visual motion analysis method for detecting arbitrary numbers of moving objects in image sequences
WO2012065184A2 (en) * 2010-11-12 2012-05-18 Nextnav, Llc Wide area positioning system

Also Published As

Publication number Publication date
KR102069390B1 (ko) 2020-01-23
JP2014071902A (ja) 2014-04-21
EP2713308A3 (en) 2015-08-05
US20140093127A1 (en) 2014-04-03
BR102013024785A2 (pt) 2015-09-15
JP6650657B2 (ja) 2020-02-19
RU2013143669A (ru) 2015-04-10
CN103716687B (zh) 2019-01-08
KR20140043023A (ko) 2014-04-08
EP2713308B1 (en) 2021-11-03
AU2013213659A1 (en) 2014-04-17
US8811670B2 (en) 2014-08-19
BR102013024785B1 (pt) 2021-04-06
CN103716687A (zh) 2014-04-09
EP2713308A2 (en) 2014-04-02

Similar Documents

Publication Publication Date Title
US8811670B2 (en) Method and system for using fingerprints to track moving objects in video
Reilly et al. Detection and tracking of large number of targets in wide area surveillance
Wu et al. Lane-mark extraction for automobiles under complex conditions
JP2014071902A5 (enExample)
US9036910B1 (en) Method and system for processing a sequence of images using fingerprints
Brunner et al. Selective combination of visual and thermal imaging for resilient localization in adverse conditions: Day and night, smoke and fire
Azevedo et al. Automatic vehicle trajectory extraction by aerial remote sensing
JP6586430B2 (ja) 車両位置の推定
US11010622B2 (en) Infrastructure-free NLoS obstacle detection for autonomous cars
Siegemund et al. Curb reconstruction using conditional random fields
CN116643291B (zh) 一种视觉与激光雷达联合剔除动态目标的slam方法
Palaniappan et al. Moving object detection for vehicle tracking in wide area motion imagery using 4d filtering
Yang et al. Feature matching error analysis and modeling for consistent estimation in vision‐aided navigation
Lei et al. Multitarget detection and tracking method in remote sensing satellite video
Rahaman et al. Lane detection for autonomous vehicle management: PHT approach
Tewary et al. Hybrid multi-resolution detection of moving targets in infrared imagery
Ibisch et al. Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage
Czyzewski et al. Examining Kalman filters applied to tracking objects in motion
Bhusal Object detection and tracking in wide area surveillance using thermal imagery
Demars et al. Multispectral detection and tracking of multiple moving targets in cluttered urban environments
Bensebaa et al. Direction estimation of moving pedestrian groups for intelligent vehicles
Giudici et al. Towards sustainable smart cities: The use of the viapps as road monitoring system
WO2019045586A1 (ru) Способ мониторинга движущихся объектов
Schmitz et al. Semantic segmentation of airborne images and corresponding digital surface models–additional input data or additional task?
US12579741B2 (en) Detecting three dimensional (3D) changes based on multi-viewpoint images

Legal Events

Date Code Title Description
FGA Letters patent sealed or granted (standard patent)