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

异构传感器网络的目标驱动视觉对象识别和跟踪系统

• 批准号: 239004-2007
• 负责人: Samarabandu, Jagath
• 金额: $ 1.09万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=455121
• 关键词: Goal; driven; visual; object; identification

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.

智能空间是一个物理环境，充满了感官，计算和通信能力以及集成它们的软件。它将预测使用者的需要，并在需要时提供服务。此类空间可应用于医疗保健、制造业、教育、环境监测、指挥中心和安全等各个领域。使这样一个系统成为现实所需的一个关键组成部分是在这个空间中识别、定位和跟踪物体（有生命和无生命）的能力。这种能力还为确定智能空间的占用者之间的活动模式铺平了道路。在这个提议中，我们讨论了一个软件框架的开发，以及一组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构建块。