Multichannel spatio-temporal topographic processing for visual search and navigation

Istvan Szatmari; David Balya; Gergely Timar; Csaba Rekeczky; Tamas Roska

doi:10.1117/12.501159

18 April 2003 Multichannel spatio-temporal topographic processing for visual search and navigation

Istvan Szatmari, David Balya, Gergely Timar, Csaba Rekeczky, Tamas Roska

Proceedings Volume 5119, Bioengineered and Bioinspired Systems; (2003) https://doi.org/10.1117/12.501159
Event: Microtechnologies for the New Millennium 2003, 2003, Maspalomas, Gran Canaria, Canary Islands, Spain

Abstract

In this paper a biologically motivated image flow processing mechanism is presented for visual exploration systems. The intention of this multi-channel topographic approach was to produce decision maps for salient feature localization and identification. As a unique biological study has recently confirmed mammalian visual systems process the world through a set of separate parallel channels and these representations are embodied in a stack of 'strata' in the retina. Beyond reflecting the biological motivations our main goal was to create an efficient algorithmic framework for real-life visual search and navigation experiments. In the course of this design the retinotopic processing scheme is embedded in an analogic Cellular Neural Network (CNN) algorithm where image flow is analyzed by temporal, spatial and spatio-temporal filters. The output of these sub-channels is then combined in a programmable configuration to form the new channel responses. In the core of the algorithm crisp or fuzzy logic strategies define the global channel interaction and result in a unique binary image flow. This processing mechanism of the algorithmic framework and the hardware architecture of the system are presented along with experimental ACE4k CNN chip results for several video flows recorded in flying vehicles.

Citation Download Citation

Istvan Szatmari, David Balya, Gergely Timar, Csaba Rekeczky, and Tamas Roska "Multichannel spatio-temporal topographic processing for visual search and navigation", Proc. SPIE 5119, Bioengineered and Bioinspired Systems, (18 April 2003); https://doi.org/10.1117/12.501159

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