Presentation 2015-03-20
A Study on Removal of Temporal Objects from Image Sequences Based on Adaptive Background Selection
Toru KOTSUKA, Daisuke DEGUCHI, Ichiro IDE, Hiroshi MURASE,
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Abstract(in English) In recent years, there is a strong demand for street-view databases that do not include temporal objects. However, it is difficult to obtain a street-view image with no temporal object. Therefore, it is needed to develop a technique that can remove temporal objects and restore the background scene in a street-view image. This report proposes a method to remove temporal objects and restore the background scene by fusion of multiple frontal in-vehicle camera image sequences. When we attempt to remove temporal objects by fusion of frontal in-vehicle camera image sequences, frame alignment and spatial alignment should be performed. To solve these problems, this report proposes a frame alignment method robust to the appearance change caused by the difference of vehicle positions, and a spatial alignment method giving dense pixel correspondences. Furthermore, this report proposes a method to reduce image deterioration by selecting the best reference image automatically for image fusion. Experimental results showed that the proposed method could remove temporal objects and restore the background scenes properly.
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Keyword(in English) In-vehicle camera / removal of moving objects / background restoration
Paper # BioX2014-66,PRMU2014-186
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Conference Information
Committee PRMU
Conference Date 2015/3/12(1days)
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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 Removal of Temporal Objects from Image Sequences Based on Adaptive Background Selection
Sub Title (in English)
Keyword(1) In-vehicle camera
Keyword(2) removal of moving objects
Keyword(3) background restoration
1st Author's Name Toru KOTSUKA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Daisuke DEGUCHI
2nd Author's Affiliation Information and Communications Headquarters, Nagoya University
3rd Author's Name Ichiro IDE
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Hiroshi MURASE
4th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2015-03-20
Paper # BioX2014-66,PRMU2014-186
Volume (vol) vol.114
Number (no) 521
Page pp.pp.-
#Pages 6
Date of Issue