Integrated Sensing: 3D Description and Recognition of Human Activities Using Distributed Cameras

在这两年的努力中，我们提出解决一些基础研究问题，这些问题出现在对一组室内或室外摄像机同时收集的视频流的解释中。具体来说，我们对使用分布式摄像机推断一个或多个人的运动和活动感兴趣。我们建议开发新的方法，用于检测和跟踪人类使用3D modelsfor身体部位，和准不变的识别人类从事的活动。我们将利用最新的进展估计后验概率密度函数usingMonte Carlo马尔可夫链技术来推断人类的描述和他们的活动的计算方面。

In this two-year effort, we propose to address some of the basic research issues that arise in the interpretation of video streams, simultaneously collected by a set of indoor or outdoor cameras.Specifically, we are interested in inferring movements and activities of one or more humans usingdistributed cameras. We propose to develop novel methods for detecting and tracking humans using 3D modelsfor body parts, and quasi-invariant recognition of activities humans are engaged in. We will make use of the recent advances made in the computational aspects of estimating posterior probability density functions usingMonte Carlo Markov Chain techniques to infer human descriptions and their activities.