Paper
20 April 1988 Motion Sensitive Cellular Automata
Luis R Lopez
Author Affiliations +
Proceedings Volume 0880, High Speed Computing; (1988) https://doi.org/10.1117/12.944025
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States
Abstract
A two dimensional hexagonal cellular automaton using second order dynamics, where cell states at time t-1 determine cell states at time t, is shown to be an effective motion detector. Simulation results indicate that this cellular automaton is capable of simultaneous tracking of multiple objects in the presence of a randomly fluctuating background (clutter). Detection of motion can be achieved in fluctuating backgrounds of 30% or more (30% of the input cells ,or focal plane pixels, are randomly chosen to be active for every frame). This automaton design lends itself well to concurrent focal plane processing, including optical implementations, and has a variety of applications. These include linear motion filtering and feature extraction from time varying images. This design may also serve as a basic model for retinal neuron interactions in biological vision.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luis R Lopez "Motion Sensitive Cellular Automata", Proc. SPIE 0880, High Speed Computing, (20 April 1988); https://doi.org/10.1117/12.944025
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neurons

Motion detection

Neural networks

Feature extraction

Sensors

Computer vision technology

Image filtering

RELATED CONTENT

Contemporary deep recurrent learning for recognition
Proceedings of SPIE (May 01 2017)
Pyramid nets for computer vision
Proceedings of SPIE (March 01 1991)
Connectionist learning procedure for edge detector
Proceedings of SPIE (February 01 1992)

Back to Top