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Spatiotemporal Multiresolution Associated to MRF Modelling for Motion Detection

Abstract : A Markov Random Field (MRF) based motion detection algorithm in a spatiotemporal pyramid framework is presented. The originality of this approach consists applying multiresolution both in space and time in the same way. Hence, in integrating spatial and temporal information on larger neighborhoods, it is possible to deal with some difficult cases such as uniform moving areas or subpixel motion. Furthermore, the computational cost and the delay induced by such a method remain compatible with real-time applications.
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https://hal-univ-pau.archives-ouvertes.fr/hal-01909118
Contributor : Julien Rabaud <>
Submitted on : Tuesday, October 30, 2018 - 6:40:06 PM
Last modification on : Tuesday, April 28, 2020 - 1:03:02 AM

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  • HAL Id : hal-01909118, version 1

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A. Caplier, Franck Luthon. Spatiotemporal Multiresolution Associated to MRF Modelling for Motion Detection. IEE Conference Publication (ICIPA), 1995, Unknown, Unknown Region. pp.158-162. ⟨hal-01909118⟩

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