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| 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 |
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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.
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Received: 20 March 2014
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2015, Vol. 28 
