Biological inspired human action recognition

Proceedings of the 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 58-65

  Yousefi, Bardia ^a   Loo, Chu Kiong ^a   Memariani, Ali ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

active basis model; biological inspired model; human action recognition; optical flow; synergetic neural networks

Indexed keywords

ACTIVE BASIS; BIOLOGICAL MOVEMENTS; COMPUTATIONAL NEUROSCIENCE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN-ACTION RECOGNITION; MOTION INFORMATION; MULTI-TEMPLATE MATCHING; SYNERGETIC NEURAL NETWORKS;

GESTURE RECOGNITION; INTELLIGENT ROBOTS; MAGNETIC RESONANCE IMAGING; MAMMALS; OBJECT RECOGNITION; OPTICAL FLOWS; ROBOTICS; TEMPLATE MATCHING;

NEURAL NETWORKS;

EID: 84886505077     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RiiSS.2013.6607930     Document Type: Conference Paper

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