DocumentCode
2915599
Title
Using dynamic programming to match human behavior sequences
Author
Chen, Yan ; Wu, Qiang ; He, Xiangjian
Author_Institution
Fac. of Inf. Technol., Univ. of Technol., Sydney, NSW
fYear
2008
fDate
17-20 Dec. 2008
Firstpage
1498
Lastpage
1503
Abstract
This paper proposed a new approach for recognition and matching the human behavior sequence. Each human behavior sequence is represented by its key postures to greatly reduce the computation time. Normalization is applied to all the behavior sequences key postures for matching. A dynamic time warping (DTW) algorithm is used to perform the alignment of two time series. Experiments are carried out on an open human behavior database and exciting results have been obtained.
Keywords
dynamic programming; gesture recognition; image matching; time series; dynamic programming; dynamic time warping algorithm; human behavior sequence matching; human behavior sequence recognition; key postures; open human behavior database; time series; Automatic control; Costs; Dynamic programming; Face recognition; Hidden Markov models; Humans; Motion analysis; Robotics and automation; Speech recognition; Time measurement; Dynamic Time Warping; Key Postures; Sequence Matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location
Hanoi
Print_ISBN
978-1-4244-2286-9
Electronic_ISBN
978-1-4244-2287-6
Type
conf
DOI
10.1109/ICARCV.2008.4795746
Filename
4795746
Link To Document