MY177015A - Method of self-enrollment for object identification - Google Patents

Method of self-enrollment for object identification

Info

Publication number
MY177015A
MY177015A MYPI2010005178A MYPI2010005178A MY177015A MY 177015 A MY177015 A MY 177015A MY PI2010005178 A MYPI2010005178 A MY PI2010005178A MY PI2010005178 A MYPI2010005178 A MY PI2010005178A MY 177015 A MY177015 A MY 177015A
Authority
MY
Malaysia
Prior art keywords
enrollment
object identification
model
self
steps
Prior art date
Application number
MYPI2010005178A
Inventor
Kim Meng Liang
Original Assignee
Mimos Berhad
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 Mimos Berhad filed Critical Mimos Berhad
Priority to MYPI2010005178A priority Critical patent/MY177015A/en
Priority to PCT/MY2011/000077 priority patent/WO2012060682A1/en
Publication of MY177015A publication Critical patent/MY177015A/en

Links

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
    • G06V40/60—Static or dynamic means for assisting the user to position a body part for biometric acquisition
    • G06V40/67—Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user
    • 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
    • G06V40/50—Maintenance of biometric data or enrolment thereof

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)
  • Image Analysis (AREA)

Abstract

A method of performing self-enrollment for object identification, the methods comprising the steps of computing (11) an enrollment model which includes the steps of detecting (14) all the object for a predetermined duration, extracting (15) visual features, determining authorized objects, storing (19) them in feature space, and normalising (24) feature space for obtaining optimum enrollment model, and providing feedback (12) to said enrollment model on the detected unauthorized object and updating (12) said enrollment model for any new or removal of authorized object during the object identification in the system.
MYPI2010005178A 2010-11-02 2010-11-02 Method of self-enrollment for object identification MY177015A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2010005178A MY177015A (en) 2010-11-02 2010-11-02 Method of self-enrollment for object identification
PCT/MY2011/000077 WO2012060682A1 (en) 2010-11-02 2011-06-06 Method of self-enrollment for object identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2010005178A MY177015A (en) 2010-11-02 2010-11-02 Method of self-enrollment for object identification

Publications (1)

Publication Number Publication Date
MY177015A true MY177015A (en) 2020-09-01

Family

ID=46024652

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2010005178A MY177015A (en) 2010-11-02 2010-11-02 Method of self-enrollment for object identification

Country Status (2)

Country Link
MY (1) MY177015A (en)
WO (1) WO2012060682A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108365925B (en) * 2017-01-26 2021-05-18 华为技术有限公司 Data transmission method and user equipment

Also Published As

Publication number Publication date
WO2012060682A1 (en) 2012-05-10

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