Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas
作者：
Highlights：
• Derivation of the equations of a generalized Dirichlet-based hidden Markov model.
• Derivation of the equations of a Beta-Liouville-based hidden Markov model.
• Application of the new models to public areas surveillance scenarios.
• Better performance over the Dirichlet-based hidden Markov models.
• Analysis of the behavior of the models and guidelines for parameter tuning.
摘要
Highlights•Derivation of the equations of a generalized Dirichlet-based hidden Markov model.•Derivation of the equations of a Beta-Liouville-based hidden Markov model.•Application of the new models to public areas surveillance scenarios.•Better performance over the Dirichlet-based hidden Markov models.•Analysis of the behavior of the models and guidelines for parameter tuning.
论文关键词：Hidden Markov models,Generalized Dirichlet,Beta-Liouville,Proportional data,Anomaly detection,Public security
论文评审过程：Received 11 November 2014, Revised 30 September 2015, Accepted 4 February 2016, Available online 12 February 2016, Version of Record 21 March 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.02.004
