Presentation 2005-09-22
Detection and Recognition of Moving Objects Using Motion Invariants
Satoshi ITO, Nobuyuki OTSU,
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Abstract(in English) Detection and recognition of moving objects from image streams is one of the most important themes in video surveillance, onboard camera in ITS and robotics, etc. In this paper, first we obtain motion invariant linear features by mathematical analysis on the relationship between motion and change of feature value which is caused by motion. Then we show a recognition method of moving objects in the case of a fixed camera and a detection method of moving objects in the case of a moving camera.
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Keyword(in English) Invariant feature / Linear feature extraction / Perspective projection / Motion analysis
Paper # NLC2005-45,PRMU2005-72
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Conference Information
Committee PRMU
Conference Date 2005/9/15(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) Detection and Recognition of Moving Objects Using Motion Invariants
Sub Title (in English)
Keyword(1) Invariant feature
Keyword(2) Linear feature extraction
Keyword(3) Perspective projection
Keyword(4) Motion analysis
1st Author's Name Satoshi ITO
1st Author's Affiliation Graduate School of Information Science and Technology, University of Tokyo()
2nd Author's Name Nobuyuki OTSU
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology
Date 2005-09-22
Paper # NLC2005-45,PRMU2005-72
Volume (vol) vol.105
Number (no) 302
Page pp.pp.-
#Pages 6
Date of Issue