DocumentCode :
3207634
Title :
An heterogeneous M-SIMD architecture for Kalman filter controlled processing of image sequences
Author :
Nudd, G.R. ; Atherton, T.J. ; Kerbyson, D.J.
Author_Institution :
Dept. of Comput. Sci., Warwick Univ., Conventry, UK
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
842
Lastpage :
845
Abstract :
The use of a heterogeneous multiple-SIMD (M-SIMD) architecture with image-based measurements and optimal (Kalman) estimators for the analysis of image sequences is illustrated. The architecture integrates SIMD and MIMD processing paradigms, combining heterogeneity of processor types matched to the computation at each level and operational autonomy within an SIMD array. It is suited to real-time simultaneous data parallel (iconic) and control parallel (numeric) processing
Keywords :
Kalman filters; image processing; parallel architectures; Kalman filter; M-SIMD architecture; image sequences; image-based measurements; Computer architecture; Computer science; Image analysis; Image processing; Image segmentation; Image sequences; Kalman filters; Object detection; Process control; Recursive estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223243
Filename :
223243
Link To Document :
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