IEEE - Institute of Electrical and Electronics Engineers, Inc. - Recognizing human actions by BP-AdaBoost algorithm under a hierarchical recognition framework

ICASSP 2013 - IEEE International Conference on Acoustics, Speech and Signal Processing

Author(s): Nijun Li ; Xu Cheng ; Suofei Zhang ; Zhenyang Wu
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2013
Conference Location: Vancouver, BC, Canada
Conference Date: 26 May 2013
Page(s): 3,407 - 3,411
ISBN (Electronic): 978-1-4799-0356-6
ISSN (Paper): 1520-6149
DOI: 10.1109/ICASSP.2013.6638290
Regular:

This paper explores the performance of Neural Network (NN) for human action recognition and proposes a novel hierarchical and boosting-based action recognition system. Specifically, the main... View More

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