A decision forest based feature selection framework for action recognition from RGB-depth cameras;RGB-derinlik kameralarl üzerinden karar ormanl temelli bir hareket tanlma öznitelik secim catisl

2013 21st Signal Processing and Communications Applications Conference, SIU 2013

Volumn , Issue , 2013, Pages

  Negin, Farhood ^a   Özdemir, Flrat ^a   Yüksel, Karner Ali ^a   Akgül, Ceyhun Burak ^b   Ercil, Aytül ^b  

^a SABANCI UNIVERSITY   (Turkey)

^b ISTANBUL UNIVERSITY   (Turkey)

Author keywords

Action recognition; Human motion analysis; Random decision forest

Indexed keywords

ACTION RECOGNITION; BASE-LINE PERFORMANCE; DECISION FOREST; HUMAN ACTIONS; HUMAN MOTION ANALYSIS; HUMAN MOTIONS; SELECTION FRAMEWORK; SUPPORT VECTOR MACHINE CLASSIFIERS;

DECISION TREES; FORESTRY; IMAGE RECOGNITION; SIGNAL PROCESSING;

MOTION ESTIMATION;

DECISION MAKING; FORESTRY; IMAGE ANALYSIS; TREES;

EID: 84880856948     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIU.2013.6531398     Document Type: Conference Paper

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