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Multiple People Activity Recognition Using MHT over DBN

机译:在DBN上使用MHT进行多人活动识别

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摘要

Multiple people activity recognition system is an essential step in Ambient Assisted Living system development. A possible approach for multiple people is to take an existing system for single person activity recognition and extend it to the case of multiple people. One approach is Multiple Hypothesis Tracking (MHT) which provides capabilities of multiple people tracking and activity recognition based on the Dynamic Bayesian Network Model. The advantage of such systems is that the number of people can vary, while the disadvantage is that the activity recognition configuration cannot be done if only multiple people data is available for training.
机译:多人活动识别系统是环境辅助生活系统开发的重要步骤。对于多人而言,一种可能的方法是采用现有系统进行单人活动识别,并将其扩展到多人的情况下。一种方法是多假设跟踪(MHT),它基于动态贝叶斯网络模型提供多人跟踪和活动识别的功能。这种系统的优点是人数可以变化,而缺点是如果只有多个人员数据可用于训练,则无法进行活动识别配置。

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