Optimal joint selection for skeletal data from RGB-D devices using a genetic algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7630 LNAI, Issue PART 2, 2013, Pages 163-174

  Climent Pérez, Pau ^a   Chaaraoui, Alexandros Andre ^a   Padilla López, Jose Ramón ^a   Flórez Revuelta, Francisco ^b  

^a UNIVERSITY OF ALICANTE   (Spain)

^b KINGSTON UNIVERSITY   (United Kingdom)

Author keywords

feature selection; genetic algorithm; human action recognition; RGB D devices

Indexed keywords

ACTION RECOGNITION; ACTION RECOGNITION ALGORITHMS; DIVERSE APPLICATIONS; HUMAN-ACTION RECOGNITION; JOINT SELECTION; MICROSOFT KINECT; ORIENTATION DATA; RGB-D DEVICES;

ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; GENETIC ALGORITHMS; GESTURE RECOGNITION; STATISTICAL TESTS;

MOTION ESTIMATION;

EID: 84875841864     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37798-3_15     Document Type: Conference Paper

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