Human Motion Recognition Based on Hidden Markov Models

机译：基于隐马尔可夫模型的人体运动识别

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Hidden Markov Models are widely used in forecasting the unknown sequence based on observation on outside system. In this paper, they are applied in Human Motion Recognition. With the human's silhouettes, the paper mainly deals with how to get the models of regular actions and combine them with HMM to recognize the motions of motive people. As for the localization on gray images of silhouettes, an algorithm combining silhouette contrasting and centroid tracking is put forward. The results show that the new algorithm has better performance.

机译：隐马尔可夫模型广泛用于基于外部系统的观测来预测未知序列。本文将它们应用于人体运动识别。本文以人体的轮廓为主要对象，介绍如何获取常规动作的模型并将其与HMM结合以识别动机人群的动作。针对轮廓灰度图像的定位问题，提出了轮廓对比和质心跟踪相结合的算法。结果表明，新算法具有较好的性能。

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来源
《International Symposium on Intelligence Computation amp; Applications(ISICA'2007); 20070921-23; Wuhan(CN)》|2007年|P.464-471|共8页
会议地点 Wuhan(CN)
作者
Jing Xiong; ZhiJing Liu;
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作者单位

Computer Vision Laboratory, Xidian University, Xi'an 710071, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类人工智能理论;
关键词
motion models; HMM; centroid; silhouette;

机译：运动模型； HMM；质心；轮廓;

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3. Human actions recognition on multimedia hardware using angle-based and coordinate-based features and multivariate continuous hidden Markov model classifier [J] . Hachaj Tomasz, Ogiela Marek R. Multimedia Tools and Applications . 2016,第23期

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4. Recognition and classification of human motion based on hidden Markov model for motion database [C] . Ohnishi Yoshihiro, Katsura Seiichiro Advanced Motion Control (AMC), 2012 12th IEEE International Workshop on . 2012

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7. A Human-Machine Interaction Technique: Hand Gesture Recognition Based on Hidden Markov Models with Trajectory of Hand Motion [O] . Kao Chang-Yi, Fahn Chin-Shyurng 2011

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Human Motion Recognition Based on Hidden Markov Models

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