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Learning Atomic Human Actions Using Variable-Length Markov Models.
Yu-Ming Liang
Sheng-Wen Shih
Arthur Chun-Chieh Shih
Hong-Yuan Mark Liao
Cheng-Chung Lin
Published in:
IEEE Trans. Syst. Man Cybern. Part B (2009)
Keyphrases
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variable length
markov models
human actions
action recognition
learning algorithm
fixed length
active learning
space time
reinforcement learning
human computer interaction
maximum entropy
markov model
hidden state
feature selection
video sequences
higher order