Human action recognition using meta-cognitive neuro-fuzzy inference system

Human action recognition using meta-cognitive neuro-fuzzy inference system

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We propose a sequential Meta-Cognitive learning algorithm for Neuro-Fuzzy Inference System (McFIS) to efficiently recognize human actions from video sequence. Optical flow information between two consecutive image planes can represent actions hierarchically from local pixel level to global object le...

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Bibliographic Details
Main Authors: Suresh, Sundaram, Subramanian, K.
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Computer science and engineering
Online Access:https://hdl.handle.net/10356/96806
http://hdl.handle.net/10220/11619
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