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Volumn , Issue , 2011, Pages 89-92

Hardware-accelerated address-event processing for high-speed visual object recognition

Author keywords

[No Author keywords available]

Indexed keywords

ASYNCHRONOUS SENSOR; BIO-INSPIRED; CAMERA SYSTEMS; DEDICATED HARDWARE; DYNAMIC VISION; EVENT-BASED; HARDWARE IMPLEMENTATIONS; HARDWARE-ACCELERATED; HIGH SPEED VISION; HIGH-SPEED; PRE-PROCESSING; PROCESSING SYSTEMS; RATE DEPENDENT; RATE SENSORS; SHAPE DETECTION; STANDARD CMOS TECHNOLOGY; SYSTEM ARCHITECTURES; TIMESTAMPING; VISION SYSTEMS; VISUAL OBJECT RECOGNITION;

EID: 84856425102     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICECS.2011.6122221     Document Type: Conference Paper
Times cited : (11)

References (15)
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  • 3
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    • Posch, C.1
  • 5
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    • Serrano-Gotarredona, R. et al., "CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory-Processing-Learning-Actuating System for High-Speed Visual Object Recognition and Tracking," Neural Networks, IEEE Transactions on, vol.20, no.9, pp.1417-1438, Sept. 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.