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Real-Time Implementations of an MRF-Based Motion Detection Algorithm

Abstract : The main concern in image processing is the computation cost. Markov random field (MRF)-based algorithms particularly require a significant amount of computation. The paper investigates three solutions to implement a simple, but robust, MRF-based motion detection algorithm in real time: SIMD machine, DSP-based image processing board, and analog resistive network. Details and performances of each implementation are given and a comparison between each realization is made. The underlying goal of this work is to study if real-time implementations of MRF-based algorithms are feasible or not. The answer is positive in the case of quite simple algorithms, but reserved with more complex ones. (C) 1998 Academic Press Limited.
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https://hal-univ-pau.archives-ouvertes.fr/hal-01906787
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Submitted on : Saturday, October 27, 2018 - 5:45:33 PM
Last modification on : Tuesday, April 28, 2020 - 1:02:38 AM

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Alice Caplier, Franck Luthon, Christophe Dumontier. Real-Time Implementations of an MRF-Based Motion Detection Algorithm. Real Time Imaging, Elsevier, 1998, 4 (1), pp.41-54. ⟨10.1006/RTIM.1996.0062⟩. ⟨hal-01906787⟩

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