Presentation | 2005-09-22 Detection and Recognition of Moving Objects Using Motion Invariants Satoshi ITO, Nobuyuki OTSU, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Invariant feature / Linear feature extraction / Perspective projection / Motion analysis |
Paper # | NLC2005-45,PRMU2005-72 |
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Committee | PRMU |
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Conference Date | 2005/9/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |
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