CISE Research Instrumentation: A Laboratory for Interactive Applications for Computational Vision and Language

9818322 Dickinson，SvenStevenson，SuzannNew Brunswick，NJ 08854-8010A计算视觉和语言的交互应用实验室这项研究仪器使以下研究项目得以实现：-视觉对象识别及其在残疾人机器人辅助设备中的应用，-基于模型的评估、跟踪和识别，用于观察人类活动，-评估基于自然语言生成的交互系统，以及-解决交互教学中的歧义。该奖项支持在罗格斯大学建立的、正在进行的计算机科学和工程方面的研究，并有助于购买Minolta 3D激光扫描仪/对象建模器、Nomadics Technologies XR4000机械臂和立体视觉升级、Vision One视频跟踪平台、以及-解决交互教学中的歧义。该奖项支持罗格斯大学建立的、正在进行的计算机科学和工程研究，并有助于购买Minolta 3-D激光扫描仪/对象建模器、Nomadics Technologies XR4000机械臂和立体视觉升级、Vision One视频跟踪视频平台、以及四台基于STW Linux的个人电脑，以及语言数据联盟(文本语料库的来源)的成员。这些设备构成了一个新的计算视觉和语言交互应用实验室的基础，由四个个人投资促进机构领导，并将在计算机视觉和自然语言处理领域的四个合作研究项目中共享：(1)在残疾人机器人系统中整合物体识别和语言理解；(2)开发综合视觉系统，在基于模型的框架内结合对物体和事件的估计、跟踪和识别；(3)设计用于评估自动生成的指令的视频分析系统；以及(4)开发自然语言指令的自动歧义消解程序。在每一种情况下，所产生的技术都嵌入到人机界面中，从而朝着实现更自然的交互系统的目标迈出了一步。

9818322Dickinson, SvenStevenson, SuzanneNew Brunswick, NJ 08854-8010A Laboratory for Interactive Applications of Computational Vision and LanguageThis research instrumentation enables research projects in:- Visual Object Recognition and its Applications to Robotic Aids for the Disabled,- Model-Based Estimation, Tracking, and Recognition for Observing Human Activities,- Evaluating Interactive Systems Based on Natural Language Generation, and- Resolving Ambiguities in Interactive Instructions.This award supports established, on-going research in computer science and engineering at Rutgers University and contributes to the purchase of a Minolta 3-D laser scanner/object modeler, a Nomadics Technologies XR4000 Robotic Arm and Stereo Vision Upgrade, a Vision One Video Tracking Platform, four STW Linux-based PC's, and a membership in the Linguistic Data Consortium (a source of text corpora). The equipment forms the basis for a new Laboratory for Interactive Applications of Computational Vision and Language, directed by the four PIs, and will be shared among four collaborative research projects spanning the areas of computer vision and natural language processing: (1) the integration of object recognition and language understanding in a robotic system for the disabled; (2) the development of integrated vision systems that combine estimation, tracking, and recognition of both objects and events in a model-based framework; (3) the design of a video analysis system for evaluating automatically generated instructions; and (4) the development of automatic ambiguity resolution procedures for natural language instructions. In each case, the resulting technologies are embedded within human-computer interfaces, thereby taking a step toward achieving the goal of more natural interactive systems.