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Motion detection and velocity estimation using cellular automata

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3 Author(s)
Kouzani, A.Z. ; Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia ; Bouzerdoum, A. ; Liebelt, M.

An architecture of a real-time motion detection and velocity estimation system which can easily be implemented into a VLSI chip is presented. The system consists of the following components: image acquisition, edge extraction, velocity estimation, control, and I/O. Among the five parts of the system, the edge extraction and the velocity estimation units are the most important stages, A one-dimensional cellular automata network which emulates a parallel-iterative algorithm called edge relaxation, is employed to detect and track edges, and remove noise from the input binary image, A region-based velocity estimation is carried out by a digital circuit consisting of few counters and registers, a divider and an adder. The architecture can be extended to perform real-time motion estimation for two-dimensional gray-level images

Published in:

Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on

Date of Conference:

29 Nov-2 Dec 1994

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