Real-time DSP implementation for MRF-based video motion detection

Christophe Dumontier (1) , Franck Luthon (1) , Jean-Pierre Charras (1)

1 LIS - Laboratoire des images et des signaux

This paper describes the real-time implementation of a simple and robust motion detection algorithm based on Markov random field (MRF) modeling. MRF-based algorithms often require a significant amount of computations. The intrinsic parallel property of MRF modeling has led most of implementations toward parallel machines and neural networks, but none of these approaches offers an efficient solution for real-world (i.e., industrial) applications. Here, an alternative implementation for the problem at hand is presented yielding a complete, efficient and autonomous real-time system for motion detection. This system is based on a hybrid architecture, associating pipeline modules with one asynchronous module to perform the whole process, from video acquisition to moving object masks visualization. A board prototype is presented and a processing rate of 15 images/s is achieved, showing the validity of the approach.

Mots clés: Digital signal processor; DSP; Markov random field; MRF; motion detection; real-time implementation

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Christophe Dumontier, Franck Luthon, Jean-Pierre Charras. Real-time DSP implementation for MRF-based video motion detection. IEEE Transactions on Image Processing, 1999, 8 (10), pp.1341-1347. ⟨hal-00786010⟩