Title :
Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system
Author :
Fulop, T. ; Zarandy, A.
Author_Institution :
Pazmany Peter Catholic Univ., Budapest, Hungary
Abstract :
Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska´s group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.
Keywords :
focal planes; image recognition; image sensors; microprocessor chips; object detection; Botond Roska group; Eye-RIS sensor processor device; Locusta Migratoria; bioinspired looming object detector algorithm; eye-Ris focal plane processor system; looming sensitive circuit; mammalian retina; retinal circuitry; topographic kiloprocessor chips; Cellular networks; Circuits; Computer networks; Detectors; Fluorescence; Neurons; Nonlinear filters; Object detection; Object segmentation; Retina; Eye-RIS; Looming object detection; approaching object detection; bio-inspired algorithm; focal plane-processor;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
DOI :
10.1109/CNNA.2010.5430290
