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Direct estimate of motion parameters by means of Markov random fields

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3 Author(s)
F. Bartolini ; Dipt. di Elettronica e Telecomunicazioni, Florence Univ., Italy ; R. Caldelli ; V. Romagnoli

Motion estimation in image sequences is undoubtedly one of the most studied problems because for many applications, going from video coding to pattern recognition, motion estimation is a fundamental tool. A new methodology which, by minimizing a specific potential function, determines for each image pixel its motion parameter set is presented. The approach is based on MRFs (Markov random fields) acting on a first-order neighborhood for each selected point and on a simple motion model that accounts for rotations and translations. Experimental results on synthetic and real world sequences have demonstrated the good performance of the adopted technique and moreover a quantitative and qualitative comparison with another well-known approach has confirmed the goodness of the proposed algorithm

Published in:

Image Processing, 2001. Proceedings. 2001 International Conference on  (Volume:2 )

Date of Conference:

7-10 Oct 2001