Adaptive Human Action Recognition With an Evolving Bag of Key Poses

Vision-based human action recognition allows to detect and understand meaningful human motion. This makes it possible to perform advanced human-computer interaction, among other applications. In dynamic environments, adaptive methods are required to support changing scenario characteristics. Specifi...

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Veröffentlicht in:	IEEE transactions on autonomous mental development Jg. 6; H. 2; S. 139 - 152
Hauptverfasser:	Chaaraoui, Alexandros Andre, Florez-Revuelta, Francisco
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2014
Schlagworte:	Adaptation models Evolutionary computing and genetic algorithms feature evaluation and selection Feature extraction human computer interaction Optimization Sociology Statistics Training Vectors vision and scene understanding
ISSN:	1943-0604, 1943-0612
Online-Zugang:	Volltext
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