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...
Main Authors: | Chen, Shoushun, Akselrod, Polina, Zhao, Bo, Carrasco, Jose Antonio Perez, Linares-Barranco, Bernabe, Culurciello, Eugenio |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/99187 http://hdl.handle.net/10220/13517 |
Similar Items
-
A size and position invariant event-based human posture recognition algorithm
by: Chen, Shoushun, et al.
Published: (2010) -
Bio-inspired categorization using event-driven feature extraction and spike-based learning
by: Zhao, Bo, et al.
Published: (2014) -
Automated categorization of person by gender/ethnicity
by: Raghuraman Katherayson
Published: (2011) -
Automatic categorization of geography examination questions.
by: Chong, Serene Yee Soon.
Published: (2008) -
A review of emotion sensing: categorization models and algorithms
by: Wang, Zhaoxia, et al.
Published: (2022)