Self-Organizing Neural Integration of Pose-Motion Features for Human Action Recognition

Self-Organizing Neural Integration of Pose-Motion Features for Human Action Recognition

The visual recognition of complex, articulated human movements is fundamental for a wide range of artificial systems oriented towards human-robot communication, action classification, and action-driven perception. These challenging tasks may generally involve the processing of a huge amount of visua...

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Detaylı Bibliyografya
Asıl Yazarlar: German Ignacio Parisi, Cornelius eWeber, Stefan eWermter
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2015-06-01
Seri Bilgileri:Frontiers in Neurorobotics
Konular:
neural networks
Visual Processing
Action recognition
depth information
robot perception
Self-organizing learning
Online Erişim:http://journal.frontiersin.org/Journal/10.3389/fnbot.2015.00003/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnbot.2015.00003/full

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