Bottleneck Problem Solution using Biological Models of Attention in High Resolution Tracking Sensors
Authors: Fish, AlexanderYadid-Pecht, Orly URI:
http://hdl.handle.net/10525/780 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.Publisher:
Institute of Information Theories and Applications FOI ITHEASubject: Bottleneck ProblemImage ProcessingTracking ImagerModels of Attention
Issue Date: 2005
ISSN: 1313-0463
Language: en
Type: Article