Presentation 2014-03-07
A fast vehicle detection method from omni-directional video
Koutaro KATAYAMA, Keiji SHIBATA, Yuukou HORITA,
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Abstract(in English) We propose a fast method for vehicle detection from omni-directional video without panoramic expansion. Vehicle detection using an omni-directional videos is performed by panoramic expansion generally; since it requires a pixel interpolation, it is considered the adverse effect on the detection accuracy and the processing time due to pixel interpolation. To this problem, we have proposed a vehicle detection method using an omni-directional image without panoramic expansion. This method is calculated a rotation invariant intensity gradient feature in the region of circular sector; this process is necessary to perform every time of scanning the circular sector. By integrating the feature quantity in polar direction, and calculates the feature value in constant time for each region of circular sector, it was possible to reduce the processing time.
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Keyword(in English) Omni-directional Image / Vehicle Detection / Integral Image / Fast Method
Paper # IMQ2013-50,IE2013-159,MVE2013-88
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Conference Information
Committee MVE
Conference Date 2014/2/27(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) A fast vehicle detection method from omni-directional video
Sub Title (in English)
Keyword(1) Omni-directional Image
Keyword(2) Vehicle Detection
Keyword(3) Integral Image
Keyword(4) Fast Method
1st Author's Name Koutaro KATAYAMA
1st Author's Affiliation Graduate School of Science and Engineering for Education, University of Toyama()
2nd Author's Name Keiji SHIBATA
2nd Author's Affiliation Graduate School of Science and Engineering for Research, University of Toyama
3rd Author's Name Yuukou HORITA
3rd Author's Affiliation Graduate School of Science and Engineering for Research, University of Toyama
Date 2014-03-07
Paper # IMQ2013-50,IE2013-159,MVE2013-88
Volume (vol) vol.113
Number (no) 470
Page pp.pp.-
#Pages 4
Date of Issue