Presentation 2012-03-30
A study on General Obstacle Detection by Spatio-Temporal Subtraction with Past In-Vehicle Camera Image Sequence
Haruya KYUTOKU, Daisuke DEGUCHI, Tomokazu TAKAHASHI, Yoshito MEKADA, Ichiro IDE, Hiroshi MURASE,
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Abstract(in English) The aim of this research is to detect forward obstacles from front-views of in-vehicle camera images. Most existing techniques detect specific obstacles, such as a pedestrian or a vehicle. Thus, they can't detect unexpected obstacles on the road. By using subtraction, unexpected obstacles can be detected without the previous knowledge about them. Fist, the proposed method computes the correspondences between the present and the past in-vehicle camera images. Next, the proposed method compensates the gap of the road-surface regions caused by the different running positions, and determines the correspondence of the road-surface regions. Then, obstacles are detected by using spatio-temporal subtraction technique. Experiments were conducted using in-vehicle camera images. The results showed that the proposed method could detect various obstacles on the road satisfactorily.
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Keyword(in English) Detection of obstacles / in-vehicle camera / subtraction / ITS
Paper # PRMU2011-263,HIP2011-91
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Conference Information
Committee HIP
Conference Date 2012/3/22(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on General Obstacle Detection by Spatio-Temporal Subtraction with Past In-Vehicle Camera Image Sequence
Sub Title (in English)
Keyword(1) Detection of obstacles
Keyword(2) in-vehicle camera
Keyword(3) subtraction
Keyword(4) ITS
1st Author's Name Haruya KYUTOKU
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Daisuke DEGUCHI
2nd Author's Affiliation Strategy Office, Information and Communications Headquarters, Nagoya University
3rd Author's Name Tomokazu TAKAHASHI
3rd Author's Affiliation Faculty of Economics and Information, Gifu Shotoku Gakuen University
4th Author's Name Yoshito MEKADA
4th Author's Affiliation School of Information Science & Technology, Chukyo University
5th Author's Name Ichiro IDE
5th Author's Affiliation Graduate School of Information Science, Nagoya University
6th Author's Name Hiroshi MURASE
6th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2012-03-30
Paper # PRMU2011-263,HIP2011-91
Volume (vol) vol.111
Number (no) 500
Page pp.pp.-
#Pages 6
Date of Issue