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
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;
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
DOI :
10.1109/ICARCV.2008.4795746
