Presentation 2014-10-09
Saliency for Object Identification
Yuko OZASA, Naoko ENAMI, Yasuo ARIKI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Identifying an object specified by human speech from several objects is one of the important function for a household robot. A human recognizes an object and requests a robot to bring. Using computer vision, the robot identifies the specified object among the objects. The visual attribute of human is differ from the attribute of robot. Therefore, the recognition by human is different from that by robot. Considering the visual attribute of human, this paper presents a novel saliency for the object identification task.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) object identification / saliency / attribute / color
Paper # PRMU2014-57
Date of Issue

Conference Information
Committee PRMU
Conference Date 2014/10/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Saliency for Object Identification
Sub Title (in English)
Keyword(1) object identification
Keyword(2) saliency
Keyword(3) attribute
Keyword(4) color
1st Author's Name Yuko OZASA
1st Author's Affiliation Graduate School of System Engineering, Kobe University()
2nd Author's Name Naoko ENAMI
2nd Author's Affiliation Organization of Advanced Science and Technology, Kobe University
3rd Author's Name Yasuo ARIKI
3rd Author's Affiliation Organization of Advanced Science and Technology, Kobe University
Date 2014-10-09
Paper # PRMU2014-57
Volume (vol) vol.114
Number (no) 230
Page pp.pp.-
#Pages 6
Date of Issue