Modeling and recognizing human trajectories with beta process hidden Markov models

作者：

Highlights：

• We propose a new method for human trajectory modeling.

• Both the number of motions and the sharing characteristic are inferred from data.

• An efficient MCMC algorithm is developed.

• Experimental results show the superiority of our approach over others.

摘要

Highlights•We propose a new method for human trajectory modeling.•Both the number of motions and the sharing characteristic are inferred from data.•An efficient MCMC algorithm is developed.•Experimental results show the superiority of our approach over others.

论文关键词：Human activity recognition,Trajectory classification,Beta process,Markov chain Monte Carlo,Hidden Markov model

论文评审过程：Received 12 July 2013, Revised 8 February 2015, Accepted 27 February 2015, Available online 11 March 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.02.028