Title :
Live demonstration: Computing spike-based convolutions on GPUs
Author :
Nageswaran, Jayram M. ; Dutt, Nikil ; Wang, Yingxue ; Delbrueck, Tobi
Author_Institution :
Donald Bren Sch. of Inf. & Comput. Sci., Univ. of California, Irvine, CA, USA
Abstract :
This demonstration shows the first implementation of a real-time spike-based convolution processing system which combines a spike based dynamic vision sensor (DVS) with parallel graphics processor unit (GPU) computation. Moving objects with different features (shape and size) are presented to the system. In the first demo, the system responses in real time to recognize and keep track of one user specified object and ignore the others. In the second one, the system concurrently extracts several features, and labels the outputs with different colors. Users will enjoy the real-time response and learn about using spike-based sensors combined with conventional procedural processing.
Keywords :
computer graphic equipment; convolution; feature extraction; image sensors; neural nets; object recognition; feature extraction; live demonstration; object recognition; parallel graphics processor unit; real-time spike-based convolution processing system; spike based dynamic vision sensor; spike-based neural networks; Biological neural networks; Central Processing Unit; Computer networks; Computer vision; Concurrent computing; Delay; Embedded computing; Feature extraction; Real time systems; Voltage control;
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
DOI :
10.1109/ISCAS.2009.5118158
