Simultaneous people tracking and motion pattern learning

作者：

Highlights：

• Sampled Hidden Markov Model (SHMM) is used to learn human motion patterns.

• A probabilistic simultaneous people tracking and motion pattern learning is proposed.

• The algorithm was tested through real world experiments.

• It shows appealing results for tracking robustness and handling occlusions.

摘要

•Sampled Hidden Markov Model (SHMM) is used to learn human motion patterns.•A probabilistic simultaneous people tracking and motion pattern learning is proposed.•The algorithm was tested through real world experiments.•It shows appealing results for tracking robustness and handling occlusions.

论文关键词：People tracking,Motion pattern learning,Human Robot Interaction

论文评审过程：Available online 29 May 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.019