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Estimation of time-varying velocities of moving objects by time-frequency representations | IEEE Journals & Magazine | IEEE Xplore

Estimation of time-varying velocities of moving objects by time-frequency representations


Abstract:

An approach to the estimation of motion parameters of moving objects in a video-sequence, by using the SLIDE (subspace-based line detection algorithm) algorithm, is consi...Show More

Abstract:

An approach to the estimation of motion parameters of moving objects in a video-sequence, by using the SLIDE (subspace-based line detection algorithm) algorithm, is considered. The proposed procedure projects video-frames to the coordinate axes, in order to obtain synthetic images containing information about the motion parameters. These synthetic images are mapped to the FM signals by using constant /spl mu/-propagation. The problem of velocity estimation is reduced to the instantaneous frequency (IF) estimation. IF estimators, based on time-frequency (TF) representations, are used. Three TF representations: spectrogram (SPEC), Wigner distribution (WD), and S-method (SM), are used and compared to this aim. A tradeoff between concentration of the TF representation (velocity estimation accuracy) and reduction of the cross-terms (possibility for estimation of the multiple objects parameters) is achieved by the SM. A performance analysis of the algorithm is done. Theoretical results are illustrated on several numerical examples.
Published in: IEEE Transactions on Image Processing ( Volume: 12, Issue: 5, May 2003)
Page(s): 550 - 562
Date of Publication: 31 May 2003

ISSN Information:

PubMed ID: 18237931

References

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