Paper
28 December 1998 Selective tracking of stimuli by impulse Retina
Emmanuel Marilly, Alain Mercier, Christophe Coroyer, Olga Cachard, Alain Faure
Author Affiliations +
Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334637
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
In the context of mobile robotics, we have evolved a Foveal Visual Pre-processor that detects and extract motion as well as shape. This F.V.P. makes a selective tracking of stimuli. The main interest of this model inspired by the vertebrate retina is its response to stationary or moving stimuli: they can be distinguished according to both their shapes and velocities. This model is adaptive and its multi-resolution characteristics allow the detection of a wide range of velocities. The developed model consists in three parts: the Retina module which is in charge of the visual processing, the process module which processes the neural signals and extracts the velocity vector and the spatial frequencies (i.e.: the shape of the stimulus) and the control module which directs the fovea onto the stimulus and tracks it. The results obtained from the analyses of scenes with, in a first step, a unique moving object have validated the chosen control. One of the interests of our model is the possibility of selecting one stimulus and tracking it. The developed system has a good precision and the object is always caught by the fovea. Indeed, as the biological retina, our sensor adapts to the various conditions of illumination and is robust to noise.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emmanuel Marilly, Alain Mercier, Christophe Coroyer, Olga Cachard, and Alain Faure "Selective tracking of stimuli by impulse Retina", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334637
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KEYWORDS
Retina

Neurons

Visual process modeling

Signal processing

Filtering (signal processing)

Visualization

Electronic filtering

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