Human Trajectory Analysis Method Based on Hidden Markov Model in Home Intelligent Space
ZHAO Yang1, TIAN Guo-Hui1, YIN Jian-Qin2, FAN Jian-Xia1
1.School of Control Science and Engineering, Shandong University, Jinan 250061 2.School of Information Science and Engineering, University of Jinan, Jinan 250022
Abstract：Recognition and pre-reasoning of human activity is essential in home intelligent space. In this paper, an approach based on hidden markov model (HMM) is proposed for human trajectory analysis. Firstly, the plan is discretized into tile blocks, and HMM models for human trajectories are set up off-line. Then, aiming at the online analysis, a sliding-window-like approach is put forward to achieve real-time trajectory segmentation and activate model matching process intelligently. Finally, a predicition of human trajectory is made by the intelligent space according to matching results. Experimental results show that the proposed approach achieves good performance in real-time trajectory analysis. Furthermore, the proposed approach can help home intelligent space make wiser decision.
赵扬，田国会，尹建芹，樊建霞. 家庭智能空间下基于HMM的人轨迹分析方法*[J]. 模式识别与人工智能, 2015, 28(6): 542-549.
ZHAO Yang , TIAN Guo-Hui , YIN Jian-Qin , FAN Jian-Xia. Human Trajectory Analysis Method Based on Hidden Markov Model in Home Intelligent Space. , 2015, 28(6): 542-549.
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2015, Vol. 28 
