S-SEER：具有选择性感知的多模式办公室活动识别系统][S-SEER: A Multimodal Office Activity Recognition System with Selective Perception]

S-SEER：具有选择性感知的多模式办公室活动识别系统 S-SEER: A Multimodal Office Activity Recognition System with Selective Perception


课程网址:	http://videolectures.net/mlmi04ch_oliver_moars/
主讲教师:	Nuria Oliver
开课单位:	特拉维夫大学
开课时间:	2007-02-25
课程语种:	汉简
中文简介:	我将介绍使用分层概率表示来模拟名为S SEER的系统中人员的活动。我将描述我们如何使用表示在多个时间粒度和抽象级别进行感知，学习和推理。该方法以使用名为分层隐马尔可夫模型（LHMM）的级联隐马尔可夫模型（HMM）为基础，基于来自视频，音频和计算机（键盘和鼠标）交互的实时证据流来诊断用户活动的状态。
课程简介:	I will present the use of layered probabilistic representations for modeling the activities of people in a system named S-SEER. I will describe how we use the representation to do sensing, learning and inference at multiple levels of temporal granularity and abstraction. The approach centers on the use of a cascade of Hidden Markov Models (HMMs) named Layered Hidden Markov Models (LHMMs) to diagnose states of a user's activity based on real-time streams of evidence from video, audio and computer (keyboard and mouse) interactions.
关键词:	分层概率; 隐马尔可夫模型; 时间粒度
课程来源:	视频讲座网
最后编审:	2019-07-03：lxf
阅读次数:	40

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