TY - GEN
T1 - Boosting eigenActions
T2 - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
AU - Liu, Chang
AU - Yuen, Pong C.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - This paper proposes a boosting EigenActions algorithm for human action categorization. In determining the EigenActions, a spatio-temporal information saliency is first calculatedfrom the video sequence by estimating pixel density function. Since human action can be approximated as a periodic motion, salient action unit, which is one cycle ofthe motion, is extracted and EigenActions are determined using principle component analysis. A human action classifier is developed by multi-class Adaboost algorithm. Weizmann human action database with ninety different human actions is used to evaluate our proposed algorithm. The recognition accuracy is 98.3%. A comparison with two latest methods on human action recognition is also reported.
AB - This paper proposes a boosting EigenActions algorithm for human action categorization. In determining the EigenActions, a spatio-temporal information saliency is first calculatedfrom the video sequence by estimating pixel density function. Since human action can be approximated as a periodic motion, salient action unit, which is one cycle ofthe motion, is extracted and EigenActions are determined using principle component analysis. A human action classifier is developed by multi-class Adaboost algorithm. Weizmann human action database with ninety different human actions is used to evaluate our proposed algorithm. The recognition accuracy is 98.3%. A comparison with two latest methods on human action recognition is also reported.
UR - http://www.scopus.com/inward/record.url?scp=67650677370&partnerID=8YFLogxK
U2 - 10.1109/AFGR.2008.4813327
DO - 10.1109/AFGR.2008.4813327
M3 - Conference proceeding
AN - SCOPUS:67650677370
SN - 9781424421541
T3 - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
BT - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
Y2 - 17 September 2008 through 19 September 2008
ER -