Presentation 2002/7/12
Detecting Scenes of Attention from Personal View Records : Motion estimation improvements and cooperative use of a surveillance camera
Satoshi KUBOTA, Yuichi NAKAMURA, Yuichi OHTA,
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Abstract(in English) This paper introduces a novel method for analyzing video records captured by a head-mounted camera. For this purpose, we previously reported that scenes of attention can be good indices for summarizing those videos. This paper introduces two new approaches for the performance improvement and for the extension of the potential applications. One is a new method of two-step motion estimation that adaptively uses either of the 2D affine model or the 3D rigid-body motion with central projection model. The other is the use of a wide-angled surveillance camera. The view from the camera is cooperatively used for delineating the location where the user acted, and for clearly presenting the situation.
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Keyword(in English) head-mount camera / video summarization / scenes of attention / motion estimation / surveillance camera
Paper # MVE2002-42
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Committee MVE
Conference Date 2002/7/12(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detecting Scenes of Attention from Personal View Records : Motion estimation improvements and cooperative use of a surveillance camera
Sub Title (in English)
Keyword(1) head-mount camera
Keyword(2) video summarization
Keyword(3) scenes of attention
Keyword(4) motion estimation
Keyword(5) surveillance camera
1st Author's Name Satoshi KUBOTA
1st Author's Affiliation IEMS, University of Tsukuba()
2nd Author's Name Yuichi NAKAMURA
2nd Author's Affiliation IEMS, University of Tsukuba
3rd Author's Name Yuichi OHTA
3rd Author's Affiliation IEMS, University of Tsukuba
Date 2002/7/12
Paper # MVE2002-42
Volume (vol) vol.102
Number (no) 220
Page pp.pp.-
#Pages 6
Date of Issue