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Efficient feedforward categorization of objects and human postures with address-event image sensors

This paper proposes an algorithm for feedforward categorization of objects and, in particular, human postures in real-time video sequences from address-event temporal-difference image sensors. The system employs an innovative combination of event-based hardware and bio-inspired software architecture...

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Main Authors: Chen, Shoushun, Akselrod, Polina, Zhao, Bo, Carrasco, Jose Antonio Perez, Linares-Barranco, Bernabe, Culurciello, Eugenio
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2013
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在線閱讀:https://hdl.handle.net/10356/99187
http://hdl.handle.net/10220/13517
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機構: Nanyang Technological University
語言: English