Presentation 2008-09-25
Extracting Moving Objects from a Video by Sequential Background Detection
Makoto MIYOSHI, Joo Kooi TAN, Hyoungseop KIM, Seiji ISHIKAWA,
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Abstract(in English) This paper describes a technique for extracting moving objects from a video image sequence taken by a slowly moving camera by background subtraction. A temporal median filter is applied which detects the latest background images sequentially. The camera motion is estimated using a registration algorithm and the temporal median filter is applied to the common image area among a set of successive image frames to extract the background. In order that the camera motion estimation may become more exact and effective, local correlation maps are calculated which can exclude outliers in estimated motion vectors. The technique was applied to the video images taken from a camera set at the front seat of a car, and satisfactory results were obtained.
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Keyword(in English) Object detection / Mobile camera / Background subtraction / Temporal median filter / Local correlation map
Paper # SIP2008-89,SIS2008-24
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Committee SIS
Conference Date 2008/9/18(1days)
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Registration To Smart Info-Media Systems (SIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extracting Moving Objects from a Video by Sequential Background Detection
Sub Title (in English)
Keyword(1) Object detection
Keyword(2) Mobile camera
Keyword(3) Background subtraction
Keyword(4) Temporal median filter
Keyword(5) Local correlation map
1st Author's Name Makoto MIYOSHI
1st Author's Affiliation Kyushu Institute of Technology Department of Mechanical & Control Engineering()
2nd Author's Name Joo Kooi TAN
2nd Author's Affiliation Kyushu Institute of Technology Department of Mechanical & Control Engineering
3rd Author's Name Hyoungseop KIM
3rd Author's Affiliation Kyushu Institute of Technology Department of Mechanical & Control Engineering
4th Author's Name Seiji ISHIKAWA
4th Author's Affiliation Kyushu Institute of Technology Department of Mechanical & Control Engineering
Date 2008-09-25
Paper # SIP2008-89,SIS2008-24
Volume (vol) vol.108
Number (no) 214
Page pp.pp.-
#Pages 4
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