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.

Keywords: Low-power image sensors, image processing, tracking imager, models of attention, CMOS sensors

ACM Classification Keywords: B.7.0 Integrated circuits: General, I.4.8 Image processing and computer vision: scene analysis: tracking

Link:

LOW-POWER TRACKING IMAGE SENSOR BASED ON BIOLOGICAL MODELS OF ATTENTION

Alexander Fish, Liby Sudakov-Boreysha?, Orly Yadid-Pecht?

http://www.foibg.com/ijita/vol14/ijita14-2-p01.pdf