Detection of shape anomalies: A probabilistic approach using hidden Markov models

被引：7

作者：

Liu, Zheng ^{[1
]}

Yu, Jeffrey Xu ^{[1
]}

Chen, Lei ^{[2
]}

Wu, Di ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China

[2] Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China

来源：

2008 IEEE 24TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3 | 2008年

关键词：

D O I：

10.1109/ICDE.2008.4497544

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We study the problem of detecting the shape anomalies in this paper. Our shape anomaly detection algorithm is performed on the one-dimensional representation (time series) of shapes, whose similarity is modeled by a generalized segmental hidden Markov model (HMM) under a scaling, translation and rotation invariant manner. Experimental results show that our proposed approach can find shape anomalies in a large collection of shapes effectively and efficiently.

引用

页码：1325 / +

页数：2

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