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Patent Searching and Data


Title:
OBJECT RECOGNITION DEVICE
Document Type and Number:
WIPO Patent Application WO/2012/173193
Kind Code:
A1
Abstract:
A learning processing unit (4) creates a function table representing the relationship between the class number and position information of an object and an occurrence probability, obtains a sharing matrix representing the commonality of a feature quantity among classes, creates a tree diagram in which classes having similar feature quantities are arranged, and calculates the weighting of each node in the tree diagram for each small region image pattern. A recognition processing unit (7) compares captured image data acquired by a camera (2) with a codebook, selects the closest small region image pattern from among a plurality of small region image patterns, extracts a class relating to the node having the smallest weighting from among nodes having weightings that are equal to or greater than a threshold with respect to the selected small region image pattern, and identifies the object by voting on the position information of the small region image pattern with respect to the extracted class.

Inventors:
RAZAVI NIMA (CH)
GALL JUERGEN (CH)
VAN GOOL LUC (CH)
FUNAYAMA RYUJI (JP)
Application Number:
PCT/JP2012/065255
Publication Date:
December 20, 2012
Filing Date:
June 14, 2012
Export Citation:
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Assignee:
TOYOTA MOTOR CO LTD (JP)
EIDGENOESS TECH HOCHSCHULE (CH)
RAZAVI NIMA (CH)
GALL JUERGEN (CH)
VAN GOOL LUC (CH)
FUNAYAMA RYUJI (JP)
International Classes:
G06T7/00; G06V10/48; G06V10/764
Foreign References:
JP2009301382A2009-12-24
Other References:
GALL,J. ET AL.: "Class-Specific Hough Forests for Object Detection", COMPUTER VISION AND PATTERN RECOGNITION,2009. CVPR 2009. IEEE CONFERENCE, 20 June 2009 (2009-06-20), pages 1022 - 1029, XP031607267
JUERGEN GALL; VICTOR LEMPITSKY: "Class-Specific Hough Forests for Object Detection", IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR
See also references of EP 2722815A4
Attorney, Agent or Firm:
HASEGAWA, Yoshiki et al. (JP)
Yoshiki Hasegawa (JP)
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Claims: