Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Implementing Motion Markov Detection on General Purpose Processor and Associative Mesh Palermo, Italy July 04-July 06 ISBN: 0-7695-2255-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CAMP.2005.31
We present a robust implementation of a motion detection algorithm based on a markovian relaxation both on General Purpose Processors, and on a specialized architecture, the Associative Mesh. The Mesh architecture is an instance of the associative nets model targeting real time execution of low level image algorithms and vision-Soc implementation. The algorithm implementation on both architectures is described, and also the required optimizations to speedup the execution.
Index Terms:
Vision-SoC, associative nets model, SIMD, motion detection, Markov Random Field.
Citation:
J. Denoulet, G. Mostafaoui, L. Lacassagne, A. M?rigot, "Implementing Motion Markov Detection on General Purpose Processor and Associative Mesh," camp, pp.288-293, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||