IN2014MN02361A - - Google Patents

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Publication number
IN2014MN02361A
IN2014MN02361A IN2361MUN2014A IN2014MN02361A IN 2014MN02361 A IN2014MN02361 A IN 2014MN02361A IN 2361MUN2014 A IN2361MUN2014 A IN 2361MUN2014A IN 2014MN02361 A IN2014MN02361 A IN 2014MN02361A
Authority
IN
India
Prior art keywords
gesture
models
model
sequence
source images
Prior art date
Application number
Inventor
Fitzgerald John Archibald
Francis B Macdougall
Original Assignee
Qualcomm 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
Application filed by Qualcomm Inc filed Critical Qualcomm Inc
Publication of IN2014MN02361A publication Critical patent/IN2014MN02361A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107—Static hand or arm
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • User Interface Of Digital Computer (AREA)
  • Image Analysis (AREA)

Abstract

Methods and apparatuses are presented for determining whether a gesture is being performed in a sequence of source images. In some embodiments a method includes detecting a gesture in each of one or more reference images using one or more gesture models of a plurality of gesture models. The method may also include selecting a first gesture model from the one or more gesture models that most closely matches the detected gesture prioritizing the first gesture model over other gesture models in the plurality of gesture models for searching for the gesture in the sequence of source images and scanning the sequence of source images to determine whether the gesture is being performed using the prioritized first gesture model. If the gesture is being performed the method may end scanning prior to using another gesture model of the plurality of gesture models to determine whether the gesture is being performed.
IN2361MUN2014 2012-06-08 2013-05-20 IN2014MN02361A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201261657565P 2012-06-08 2012-06-08
US13/843,907 US9646200B2 (en) 2012-06-08 2013-03-15 Fast pose detector
PCT/US2013/041766 WO2013184333A1 (en) 2012-06-08 2013-05-20 Fast pose detector

Publications (1)

Publication Number Publication Date
IN2014MN02361A true IN2014MN02361A (en) 2015-08-14

Family

ID=48614134

Family Applications (1)

Application Number Title Priority Date Filing Date
IN2361MUN2014 IN2014MN02361A (en) 2012-06-08 2013-05-20

Country Status (5)

Country Link
US (1) US9646200B2 (en)
JP (1) JP6144759B2 (en)
CN (1) CN104350509B (en)
IN (1) IN2014MN02361A (en)
WO (1) WO2013184333A1 (en)

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Also Published As

Publication number Publication date
JP6144759B2 (en) 2017-06-07
WO2013184333A1 (en) 2013-12-12
CN104350509B (en) 2018-05-29
US9646200B2 (en) 2017-05-09
US20130329946A1 (en) 2013-12-12
CN104350509A (en) 2015-02-11
JP2015524115A (en) 2015-08-20

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