Goal driven visual object identification and tracking system for a heterogeneous sensor network

智能空间是一种物理环境，它充满了感知、计算和通信能力，以及集成这些能力的软件。它将预测其居住者的需求，并在需要时提供服务。这种空间在医疗、制造、教育、环境监测、指挥中心和安全等不同领域都有应用。使这样的系统成为现实所需的一个关键构件是识别、定位和跟踪这个空间中的对象(包括有生命的和无生命的)的能力。这种能力还为确定智能空间居住者的活动模式铺平了道路。在这份提案中，我们讨论了一个软件框架的开发，以及一套用于传感器数据收集和分析的工具，这些工具将实现用于传感器网络的这一构建块。

A smart space is a physical environment that is saturated with sensory, computing and communication capabilities together with the software that integrates them. It will anticipate the needs of its occupants and will provide services as and when they are needed. Such spaces have applications in diverse areas such as healthcare, manufacturing, education, environment monitoring, command centers and security. A key building block that is needed to make such a system a reality is the capability to identify, locate and track objects (both animate and inanimate) in this space. Such a capability also paves way for determining patterns of activity among the occupants of a smart space. In this proposal, we discuss the development of a software framework together with a set of tools for sensory data collection and analysis that will implement this building block for use in a sensor network.