Presentation 2005-12-16
Theoretical and experimental evaluation of optical flow detection methods based on modulated imaging
Paul MASUREL, Dabi WEI, Toru KURIHARA, Shigeru ANDO,
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Abstract(in English) In this paper is discussed the use of both an conventional intensity image and a complex-valued correlation image to retrieve the optical flow. The correlation image consists of the correlation integrals between a chosen electrical signal and the time-varying light intensity, which can be acquired throught the use of the correlation image sensor (IEEE Trans. ED-50, 10, 2059-2066, 2003). This novel approach is examined and compared with traditional methods in several aspects : 1) image properties for various patterns and velocity, 2) detectability and accuracy vs. velocity, and 3) complex correlation image response to motion singularities. The comparison is made with both some standard image sequences extended for the modulated imaging, correlation image simulation using a raytracer.
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Paper # PRMU2005-135
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Committee PRMU
Conference Date 2005/12/9(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Theoretical and experimental evaluation of optical flow detection methods based on modulated imaging
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1st Author's Name Paul MASUREL
1st Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo()
2nd Author's Name Dabi WEI
2nd Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo
3rd Author's Name Toru KURIHARA
3rd Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo
4th Author's Name Shigeru ANDO
4th Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, University of Tokyo
Date 2005-12-16
Paper # PRMU2005-135
Volume (vol) vol.105
Number (no) 478
Page pp.pp.-
#Pages 6
Date of Issue