Presentation 2009-06-18
Object Detection System using Region-Level Layered Background Subtraction and Feature Point Based Tracking
Shigeyuki ODASHIMA, Taketoshi MORI, Masamichi SHIMOSAKA, Hiroshi NOGUCHI, Tomomasa SATO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes an object detection method in indoor environments. With object placement and removal, the input image changes stably, so we apply background subtraction for object detection. In order to distinguish object placement and removal from background subtraction result, layered background model is employed. The stable change of input image is also caused by "temporary stable" regions like human regions, so classifying "placed object" regions and "temporary stable" regions is needed. To achieve a robust classification under occlusion, we employ feature point based tracking and partial frame subtraction. Our experiment demonstrates the system detects object placement and removal appropriately in sufficient frame-rates.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) object detection / layered background model / tracking / partial frame subtraction
Paper # PRMU2009-45
Date of Issue

Conference Information
Committee PRMU
Conference Date 2009/6/11(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) Object Detection System using Region-Level Layered Background Subtraction and Feature Point Based Tracking
Sub Title (in English)
Keyword(1) object detection
Keyword(2) layered background model
Keyword(3) tracking
Keyword(4) partial frame subtraction
1st Author's Name Shigeyuki ODASHIMA
1st Author's Affiliation Graduate School of Information Science and Engineering, the University of Tokyo()
2nd Author's Name Taketoshi MORI
2nd Author's Affiliation Graduate School of Information Science and Engineering, the University of Tokyo
3rd Author's Name Masamichi SHIMOSAKA
3rd Author's Affiliation Graduate School of Information Science and Engineering, the University of Tokyo
4th Author's Name Hiroshi NOGUCHI
4th Author's Affiliation Graduate School of Information Science and Engineering, the University of Tokyo
5th Author's Name Tomomasa SATO
5th Author's Affiliation Graduate School of Information Science and Engineering, the University of Tokyo
Date 2009-06-18
Paper # PRMU2009-45
Volume (vol) vol.109
Number (no) 88
Page pp.pp.-
#Pages 6
Date of Issue