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使用离散式 IOHMM 识别独立单声道和 3D 手势

Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures using Discrete IOHMM
课程网址: http://videolectures.net/mlmi04ch_just_ricmm3/  
主讲教师: Agnes Just
开课单位: IDIAP研究所
开课时间: 2007-02-25
课程语种: 英语
中文简介:
在本文中,我们解决了孤立的复杂单手和双手手势的识别问题。在所提出的系统中,手势由斑点的3D轨迹表示。通过使用EM算法实时跟踪有色身体部位来获得斑点。在大多数关于手势的研究中,只使用了小词汇表。在本文中,我们研究了在更复杂的单声道和双手动手势数据库上获得的结果。这些结果是获得处理算法,即输入/输出隐马尔可夫模型(IOHMM),在开源机器学习库的框架内实现。
课程简介: In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs. Blobs are obtained by tracking colored body parts in real-time using the EM algorithm. In most of the studies on hand gestures, only small vocabularies have been used. In this paper, we study the results obtained on a more complex database of mono- and bi-manual gestures. These results are obtain processing algorithm, namely Input/Output Hidden Markov Model (IOHMM), implemented within the framework of an open source machine learning library.
关 键 词: 手势识别; 3D斑点轨迹; 马尔可夫模型
课程来源: 视频讲座网
最后编审: 2020-06-08:cxin
阅读次数: 31