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

• المؤلفون الرئيسيون: Chen, Shoushun, Akselrod, Polina, Zhao, Bo, Carrasco, Jose Antonio Perez, Linares-Barranco, Bernabe, Culurciello, Eugenio
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/99187; http://hdl.handle.net/10220/13517
• المؤسسة: Nanyang Technological University

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...