An effective approach for human actions recognition based on optical flow and edge features

2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012

Volumn , Issue , 2012, Pages 24-29

  Vo, Viet ^a   Ly, Ngoc ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; CANNY ALGORITHM; COMPUTATIONAL COSTS; DISCRIMINATIVE FEATURES; EDGE FEATURES; EFFECTIVE APPROACHES; HISTOGRAM OF ORIENTED OPTICAL FLOWS; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; IMAGE SEQUENCE; LOCAL FEATURE; LUCAS-KANADE; REAL-WORLD APPLICATION; RETRIEVAL SYSTEMS; SPATIAL PYRAMIDS; STATIC BACKGROUND; VIDEO SEQUENCES;

EXPERIMENTS; GESTURE RECOGNITION; GRAPHIC METHODS; IMAGE RECOGNITION; INFORMATION SCIENCE; OPTICAL FLOWS; ROBOTICS; SECURITY SYSTEMS; VIDEO RECORDING;

MOTION ESTIMATION;

EID: 84874775360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCAIS.2012.6466597     Document Type: Conference Paper

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