Real time implementation of an MRF-based motion detection algorithm on a DSP board

Author

Dumontier, C. ; Luthon, F. ; Charras, J.P.

Author_Institution

Image Process. & Pattern Recognition Lab., Nat. Polytech. Inst., Grenoble, France

fYear

1996

Firstpage

183

Lastpage

186

Abstract

The main concern in image processing is computation cost. Markov random fields (MRF) based algorithms particularly require a significant computation cost. Most of implementations of this kind of algorithms are made on parallel machines. This paper investigates an original solution for real time implementation of a robust MRF-based motion detection algorithm. A PC board, based on a pipeline architecture using a single powerfull DSP and FPGA components, is developed. The algorithm and the board are described. A processing rate of 15 images per second is achieved, showing the validity of this approach

Keywords

Markov processes; add-on boards; digital signal processing chips; field programmable gate arrays; image sequences; microcomputer applications; motion estimation; pipeline processing; random processes; video signal processing; DSP; DSP board; FPGA components; MRF based motion detection algorithm; Markov random fields; PC board; computation cost; image processing; parallel machines; pipeline architecture; processing rate; real time implementation; video sequences; Computational efficiency; Computer architecture; Digital signal processing; Field programmable gate arrays; Image processing; Markov random fields; Motion detection; Parallel machines; Pipelines; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop Proceedings, 1996., IEEE

Conference_Location

Loen

Print_ISBN

0-7803-3629-1

Type

conf

DOI

10.1109/DSPWS.1996.555491

Filename

555491