Presentation 2013-12-13
A study on detection of belongings from a human image using their category and direction
Yasuhiro ASAI, Tomokazu TAKAHASHI, Daisuke DEGUCHI, Ichiro IDE, Hiroshi MURASE,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, surveillance camera in public space is increasing. We need to search a target person in an enormous amount of data. However, manual search consumes a lot of time and labor. Thus, image processing technology which supports manual search is required. Therefore, we aim at the detection of belongings from a human image so that human operators can filter specific persons. In this report, we propose a method for the detection of belongings from a human image using image features effective for their category and the position of the belongings. In addition, we applied the proposed method to actual surveillance camera images to evaluate its effectiveness.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Surveillance camera / belongings / detection of belongings
Paper # PRMU2013-87
Date of Issue

Conference Information
Committee PRMU
Conference Date 2013/12/5(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) A study on detection of belongings from a human image using their category and direction
Sub Title (in English)
Keyword(1) Surveillance camera
Keyword(2) belongings
Keyword(3) detection of belongings
1st Author's Name Yasuhiro ASAI
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Tomokazu TAKAHASHI
2nd Author's Affiliation Faculty of Economics and Information, Gifu Shotoku Gakuen University
3rd Author's Name Daisuke DEGUCHI
3rd Author's Affiliation Information and Communications Headquarters, Nagoya University
4th Author's Name Ichiro IDE
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Hiroshi MURASE
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2013-12-13
Paper # PRMU2013-87
Volume (vol) vol.113
Number (no) 346
Page pp.pp.-
#Pages 6
Date of Issue