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