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

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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書目詳細資料
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
主題:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
在線閱讀:	https://hdl.handle.net/10356/99187 http://hdl.handle.net/10220/13517
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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