GB2485733A - Correlated probabilistic trajectories pedestrian motion detection using a decision forest - Google Patents

Correlated probabilistic trajectories pedestrian motion detection using a decision forest Download PDF

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Publication number
GB2485733A
GB2485733A GB1203946.7A GB201203946A GB2485733A GB 2485733 A GB2485733 A GB 2485733A GB 201203946 A GB201203946 A GB 201203946A GB 2485733 A GB2485733 A GB 2485733A
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GB
United Kingdom
Prior art keywords
trajectories
correlated
motion detection
decision forest
video sequence
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.)
Withdrawn
Application number
GB1203946.7A
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GB201203946D0 (en
Inventor
Frank Perbet
Atsuto Maki
Bjorn Stenger
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.)
Toshiba Europe Ltd
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Toshiba Research Europe Ltd
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Filing date
Publication date
Application filed by Toshiba Research Europe Ltd filed Critical Toshiba Research Europe Ltd
Publication of GB201203946D0 publication Critical patent/GB201203946D0/en
Publication of GB2485733A publication Critical patent/GB2485733A/en
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/277—Analysis of motion involving stochastic approaches, e.g. using Kalman filters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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

Abstract

A moving feature is recognised in a video sequence by comparing its movement with a characteristic pattern. Possible trajectories through the video sequence are generated for an object by identifying potential matches of points in pairs of frames of the video sequence. When looking for the characteristic pattern, a number of possible trajectories are analysed. The possible trajectories may be selected so that they are suitable for analysis. This may include selecting longer trajectories that can be easier to analyse. This means that where the object being tracked is momentarily behind another object a continuous trajectory is generated.
GB1203946.7A 2009-08-06 2009-08-06 Correlated probabilistic trajectories pedestrian motion detection using a decision forest Withdrawn GB2485733A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/GB2009/001948 WO2011015801A1 (en) 2009-08-06 2009-08-06 Correlated probabilistic trajectories pedestrian motion detection using a decision forest

Publications (2)

Publication Number Publication Date
GB201203946D0 GB201203946D0 (en) 2012-04-18
GB2485733A true GB2485733A (en) 2012-05-23

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
GB1203946.7A Withdrawn GB2485733A (en) 2009-08-06 2009-08-06 Correlated probabilistic trajectories pedestrian motion detection using a decision forest

Country Status (4)

Country Link
US (1) US9014422B2 (en)
JP (1) JP2013501289A (en)
GB (1) GB2485733A (en)
WO (1) WO2011015801A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
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CN104408444A (en) * 2014-12-15 2015-03-11 北京国双科技有限公司 Human body action recognition method and device

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US8879831B2 (en) * 2011-12-15 2014-11-04 Microsoft Corporation Using high-level attributes to guide image processing
TW201421423A (en) * 2012-11-26 2014-06-01 Pixart Imaging Inc Image sensor and operating method thereof
CN105512610B (en) * 2015-11-25 2019-01-29 华南理工大学 Human motion recognition method in a kind of video based on point-of-interest location information
WO2017109685A1 (en) 2015-12-22 2017-06-29 Koninklijke Philips N.V. Medical imaging apparatus and medical imaging method for inspecting a volume of a subject
US20190220670A1 (en) * 2016-07-11 2019-07-18 Mitsubishi Electric Corporation Moving image processing apparatus, moving image processing method, and computer readable medium
WO2018018194A1 (en) * 2016-07-24 2018-02-01 严映军 Method for collecting statistics about usage information of interest positioning technology and determining system
US10210603B2 (en) * 2016-10-17 2019-02-19 Conduent Business Services Llc Store shelf imaging system and method
US10627818B2 (en) 2018-03-28 2020-04-21 Zoox, Inc. Temporal prediction model for semantic intent understanding
CN110942019B (en) * 2019-11-25 2024-01-23 深圳市甲易科技有限公司 Analysis method for finding longest accompanying sub-path of two tracks
US11403856B2 (en) 2020-08-26 2022-08-02 Ford Global Technologies, Llc Group object-tracking

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SG114479A1 (en) 2000-11-27 2005-09-28 Ibm Selecting a target device in a device network
JP3692500B2 (en) 2000-09-12 2005-09-07 インターナショナル・ビジネス・マシーンズ・コーポレーション Image processing method, image processing system, and recording medium
EP1991933A1 (en) * 2006-02-27 2008-11-19 Robert Bosch GmbH Trajectory retrieval system, method and software for trajectory data retrieval
JP4764273B2 (en) 2006-06-30 2011-08-31 キヤノン株式会社 Image processing apparatus, image processing method, program, and storage medium
WO2011015800A1 (en) * 2009-08-06 2011-02-10 Toshiba Research Europe Limited Correlated probabilistic trajectories pedestrian motion detection using a decision forest

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
PERBET F ET AL; "Correlated Probabilistic Trajectories for Pedestrian Motion Detection" http://frank.perbet.org/work/cv/, INTERNET CITATION, 17 July 2009, page 8PP, XP007912890, URL: http://frank.perbet.org/work/cv/probabilistictrajectories?ICCV09.pdf [Retrieved 29 April 2010] *
PERBET F: "Index of /work/cv; Publication date: Correlated Probabilistic Trajectories for Pedestrian Motion Detection", INTERNET CITATION, 17 July 2009, XP007912949, URL: http://frank.perbet.org/work/cv [Retrieved on 5 May 2010] *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104408444A (en) * 2014-12-15 2015-03-11 北京国双科技有限公司 Human body action recognition method and device

Also Published As

Publication number Publication date
JP2013501289A (en) 2013-01-10
US20120224744A1 (en) 2012-09-06
US9014422B2 (en) 2015-04-21
GB201203946D0 (en) 2012-04-18
WO2011015801A1 (en) 2011-02-10

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