CAJ | 학술논문

对人行为的感知和预推理是家庭智能空间技术的关键环节。文中提出一种基于隐马尔可夫模型( HMM)的人轨迹分析方法。该方法首先将平面空间离散化为“瓷砖格”，离线对各预设轨迹建立HMM模型。然后针对在线分析，提出一种类似滑动窗口的轨迹分割方案，该方案能实时有效地分割轨迹段，并适时激发轨迹匹配进程。最后智能空间依据匹配结果做出轨迹预测。实验表明，文中方法能有效预测人的轨迹，且满足实时性要求，有助于智能空间更好进行决策。
대인행위적감지화예추리시가정지능공간기술적관건배절。문중제출일충기우은마이가부모형( HMM)적인궤적분석방법。해방법수선장평면공간리산화위“자전격”，리선대각예설궤적건립HMM모형。연후침대재선분석，제출일충유사활동창구적궤적분할방안，해방안능실시유효지분할궤적단，병괄시격발궤적필배진정。최후지능공간의거필배결과주출궤적예측。실험표명，문중방법능유효예측인적궤적，차만족실시성요구，유조우지능공간경호진행결책。
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.