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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/780

Title: Bottleneck Problem Solution using Biological Models of Attention in High Resolution Tracking Sensors
Authors: Fish, Alexander
Yadid-Pecht, Orly
Keywords: Bottleneck Problem
Image Processing
Tracking Imager
Models of Attention
Issue Date: 2005
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Every high resolution imaging system suffers from the bottleneck problem. This problem relates to the huge amount of data transmission from the sensor array to a digital signal processing (DSP) and to bottleneck in performance, caused by the requirement to process a large amount of information in parallel. The same problem exists in biological vision systems, where the information, sensed by many millions of receptors should be transmitted and processed in real time. Models, describing the bottleneck problem solutions in biological systems fall in the field of visual attention. This paper presents the bottleneck problem existing in imagers used for real time salient target tracking and proposes a simple solution by employing models of attention, found in biological systems. The bottleneck problem in imaging systems is presented, the existing models of visual attention are discussed and the architecture of the proposed imager is shown.
URI: http://hdl.handle.net/10525/780
ISSN: 1313-0463
Appears in Collections:Volume 12 Number 1

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