WO2012154832A3 - Object tracking - Google Patents

Object tracking

Info

Publication number
WO2012154832A3
WO2012154832A3 PCT/US2012/037094 US2012037094W WO2012154832A3 WO 2012154832 A3 WO2012154832 A3 WO 2012154832A3 US 2012037094 W US2012037094 W US 2012037094W WO 2012154832 A3 WO2012154832 A3 WO 2012154832A3
Authority
WO
Grant status
Application
Patent type
Prior art keywords
image
includes
region
computing system
template
Prior art date
Application number
PCT/US2012/037094
Other languages
French (fr)
Other versions
WO2012154832A2 (en )
Inventor
III Richard C. GOSSWEILER
Yong Zhao
Original Assignee
Google Inc.
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

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00228Detection; Localisation; Normalisation
    • G06K9/00241Detection; Localisation; Normalisation using holistic features
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00228Detection; Localisation; Normalisation
    • G06K9/00261Detection; Localisation; Normalisation using comparisons between temporally consecutive images

Abstract

In general, the subject matter described in this specification can be embodied in methods, systems, and program products. A computing system accesses an indication of a first template that includes a region of a first image. The region of the first image includes a graphical representation of a face. The computing system receives a second image. The computing system identifies indications of multiple candidate templates. Each respective candidate template from the multiple candidate templates includes a respective candidate region of the second image. The computing system compares at least the first template to each of the multiple candidate templates, to identify a matching template from among the multiple candidate templates that includes a candidate region that matches the region of the first image that includes the graphical representation of the face.
PCT/US2012/037094 2011-05-09 2012-05-09 Object tracking WO2012154832A3 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
US201161484148 true 2011-05-09 2011-05-09
US61/484,148 2011-05-09
US201161484554 true 2011-05-10 2011-05-10
US61/484,554 2011-05-10
US13302192 US8306267B1 (en) 2011-05-09 2011-11-22 Object tracking
US13/302,192 2011-11-22

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP20120782746 EP2707852A4 (en) 2011-05-09 2012-05-09 Object tracking

Publications (2)

Publication Number Publication Date
WO2012154832A2 true WO2012154832A2 (en) 2012-11-15
WO2012154832A3 true true WO2012154832A3 (en) 2013-03-21

Family

ID=47075500

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2012/037094 WO2012154832A3 (en) 2011-05-09 2012-05-09 Object tracking

Country Status (3)

Country Link
US (2) US8306267B1 (en)
EP (1) EP2707852A4 (en)
WO (1) WO2012154832A3 (en)

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DE102011108754A1 (en) * 2011-07-28 2013-01-31 Khs Gmbh inspection unit
EP2747641A4 (en) 2011-08-26 2015-04-01 Kineticor Inc Methods, systems, and devices for intra-scan motion correction
JP2013132371A (en) * 2011-12-26 2013-07-08 Denso Corp Motion detection apparatus
US9569954B2 (en) * 2012-12-13 2017-02-14 Brian L. Ganz Method and system for controlling a vehicle with a smartphone
US9305365B2 (en) 2013-01-24 2016-04-05 Kineticor, Inc. Systems, devices, and methods for tracking moving targets
US9717461B2 (en) 2013-01-24 2017-08-01 Kineticor, Inc. Systems, devices, and methods for tracking and compensating for patient motion during a medical imaging scan
US9782141B2 (en) 2013-02-01 2017-10-10 Kineticor, Inc. Motion tracking system for real time adaptive motion compensation in biomedical imaging
US9253266B2 (en) * 2013-05-03 2016-02-02 Spayce, Inc. Social interaction using facial recognition
US10004462B2 (en) 2014-03-24 2018-06-26 Kineticor, Inc. Systems, methods, and devices for removing prospective motion correction from medical imaging scans
US9734589B2 (en) 2014-07-23 2017-08-15 Kineticor, Inc. Systems, devices, and methods for tracking and compensating for patient motion during a medical imaging scan
US9725040B2 (en) * 2014-10-28 2017-08-08 Nissan North America, Inc. Vehicle object detection system
US9710716B2 (en) * 2014-12-16 2017-07-18 Sighthound, Inc. Computer vision pipeline and methods for detection of specified moving objects
US9943247B2 (en) 2015-07-28 2018-04-17 The University Of Hawai'i Systems, devices, and methods for detecting false movements for motion correction during a medical imaging scan
US10002313B2 (en) 2015-12-15 2018-06-19 Sighthound, Inc. Deeply learned convolutional neural networks (CNNS) for object localization and classification

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US20030103647A1 (en) * 2001-12-03 2003-06-05 Yong Rui Automatic detection and tracking of multiple individuals using multiple cues
US20050152579A1 (en) * 2003-11-18 2005-07-14 Samsung Electronics Co., Ltd. Person detecting apparatus and method and privacy protection system employing the same
US7693310B2 (en) * 2004-11-04 2010-04-06 Fuji Xerox Co., Ltd. Moving object recognition apparatus for tracking a moving object based on photographed image
US20070097112A1 (en) * 2005-10-31 2007-05-03 Hewlett-Packard Development Company, L.P. Method of tracking an object in a video stream

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Title
See also references of EP2707852A4 *

Also Published As

Publication number Publication date Type
WO2012154832A2 (en) 2012-11-15 application
US20130002900A1 (en) 2013-01-03 application
EP2707852A2 (en) 2014-03-19 application
US8306267B1 (en) 2012-11-06 grant
US8649563B2 (en) 2014-02-11 grant
EP2707852A4 (en) 2015-09-23 application
US20120288142A1 (en) 2012-11-15 application

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