Learning convolutional action primitives for fine-grained action recognition

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2016-June, Issue , 2016, Pages 1642-1649

  Lea, Colin ^a   Vidal, René ^b   Hager, Gregory D ^a  

^a Johns Hopkins University   (United States)

^b Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; CONVOLUTION; HUMAN ROBOT INTERACTION; PERSONNEL TRAINING; RANDOM PROCESSES; ROBOTICS; ROBOTS; TIME SERIES;

ACCELEROMETER DATA; ACTION RECOGNITION; CONDITIONAL RANDOM FIELD; DOMAIN KNOWLEDGE; RECOGNITION METHODS; ROBOT KINEMATICS; ROBOTICS APPLICATIONS; TIME SERIES MODELING;

ROBOTIC SURGERY;

EID: 84977479301     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2016.7487305     Document Type: Conference Paper

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