Presentation 2014-10-09
A study on the reference image selection for the removal of moving objects from frontal in-vehicle camera videos
Toru KOTSUKA, Daisuke DEGUCHI, Ichiro IDE, Hiroshi MURASE,
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Abstract(in English) In recent years, the demand for a street-view image database combining street-view images and their location information is increasing. When using such a street-view image database for various applications, privacy violation is one of the biggest problems because street-view images may contain moving objects, such as pedestrian and vehicle. To solve this problem, this paper proposes a method for moving objects removal from a street-view image by integration of frontal in-vehicle camera videos captured along the same route. Although image registration plays an important role to integrate such videos, it is difficult to align images correctly if reference image contains moving objects. Therefore, alignment of moving object regions needs to be done by combining it with the image registration of it surrounding regions. However, if the moving object region is large, appropriate alignment is difficult. To overcome this problem, we propose a method of reference image selection using the accuracy of the registration and the extraction of scenery candidate regions. Experimental results showed the proposed method could reduce deterioration of visual image quality in comparison with conventional methods.
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Keyword(in English) In-vehicle camera / removal of moving objects / reference image selection
Paper # PRMU2014-54
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Conference Information
Committee PRMU
Conference Date 2014/10/2(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 the reference image selection for the removal of moving objects from frontal in-vehicle camera videos
Sub Title (in English)
Keyword(1) In-vehicle camera
Keyword(2) removal of moving objects
Keyword(3) reference image selection
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 2014-10-09
Paper # PRMU2014-54
Volume (vol) vol.114
Number (no) 230
Page pp.pp.-
#Pages 6
Date of Issue