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Estimation of Multiple, Time-Varying Motions Using Time-Frequency Representations and Moving-Objects Segmentation

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2 Author(s)
Dimitrios S. Alexiadis ; Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki ; George D. Sergiadis

We extend existing spatiotemporal approaches to handle time-varying motions estimation of multiple objects. It is shown that multiple, time-varying motions estimation is equivalent to the instantaneous frequency estimation of superpoliteness FM sinusoids. Therefore, we apply established signal processing tools, such as time-frequency representations to show that for each time instant, the energy is concentrated along planes in the 3-D space: spatial frequencies - instantaneous frequency. Using fuzzy C-planes, we estimate indirectly the instantaneous velocities. Furthermore, adapting existing approaches to our problem, we attain the identification of the moving objects. The experimental results verify the effectiveness of our methodology.

Published in:

IEEE Transactions on Image Processing  (Volume:17 ,  Issue: 6 )