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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/666

Title: Low-Power Tracking Image Sensor Based on Biological Models of Attention
Authors: Fish, Alexander
Sudakov-Boreysha, Liby
Yadid-Pecht, Orly
Keywords: Low-Power Image Sensors
Image Processing
Tracking Imager
Models of Attention
CMOS Sensors
Issue Date: 2007
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: This paper presents implementation of a low-power tracking CMOS image sensor based on biological models of attention. The presented imager allows tracking of up to N salient targets in the field of view. Employing "smart" image sensor architecture, where all image processing is implemented on the sensor focal plane, the proposed imager allows reduction of the amount of data transmitted from the sensor array to external processing units and thus provides real time operation. The imager operation and architecture are based on the models taken from biological systems, where data sensed by many millions of receptors should be transmitted and processed in real time. The imager architecture is optimized to achieve low-power dissipation both in acquisition and tracking modes of operation. The tracking concept is presented, the system architecture is shown and the circuits description is discussed.
URI: http://hdl.handle.net/10525/666
ISSN: 1313-0463
Appears in Collections:Volume 14 Number 2

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