Using Dynamic Programming to Match Human Behavior Sequences

被引：6

作者：

Chen, Yan ^{[1
]}

Wu, Qiang ^{[1
]}

He, Xiangjian ^{[1
]}

机构：

[1] Univ Technol Sydney, Fac Informat Technol, Sydney, NSW 2007, Australia

来源：

2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4 | 2008年

关键词：

Sequence Matching; Dynamic Time Warping; Key Postures;

D O I：

10.1109/ICARCV.2008.4795746

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1498 / 1503

页数：6

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