SBIR Phase II: New Algorithms for Pan-Tilt-Zoom (PTZ) Camera Based Object Tracking

SBIR 第二阶段：基于云台变焦 (PTZ) 摄像机的对象跟踪新算法

• 批准号: 0450171
• 负责人: Laura Drake
• 金额: --
• 依托单位: JunTech, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-03-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0450171&HistoricalAwards=false
• 关键词: SBIR; Phase; II; New; Algorithms

This Small Business Innovation Research (SBIR) Phase II project aims to develop a new class of moving object tracking algorithms and software prototype for Pan-Tilt-Zoom (PTZ) cameras in video surveillance systems. In most of today's video surveillance systems, human operators using PTZ cameras perform real-time object tracking manually. This is often stressful and inefficient (an operator can only control one PTZ camera at a time) and causes inconsistent results. The proposed project will develop a new class of algorithms to direct PTZ cameras to track multiple moving objects of interest automatically. Using an optimal filter with new object state and observation models does this. The project outcome will be smart software modules that can be integrated into standard video surveillance systems to improve their capabilities. Video surveillance systems are important tools in the fight against crime and terrorism. Most of the systems on the market today are relatively standard DVR's (digital video recorders) with few smart features. The proposed innovation (automatic object tracking) is a smart feature that can significantly improve a standard system's capabilities by allowing it to get better and more useful images. Since this feature is demanded by many end-users, it is highly attractive to equipment vendors and integrators. Furthermore, by introducing new models for object tracking , the proposed innovation also advances the state-of-the-art in image processing and computer vision research.

这个小型企业创新研究（SBIR）第二阶段项目旨在为视频监控系统中的泛变焦（PTZ）摄像机开发一类新的移动对象跟踪算法和软件原型。在当今的大多数视频监控系统中，操作人员使用PTZ摄像机手动执行实时对象跟踪。这通常是紧张和低效的（操作员一次只能控制一个PTZ摄像机），并导致不一致的结果。该项目将开发一种新的算法来指导PTZ摄像机自动跟踪多个移动的感兴趣的对象。使用具有新对象状态和观测模型的最佳滤波器可以做到这一点。该项目的成果将是智能软件模块，可以集成到标准视频监控系统中，以提高其功能。视频监控系统是打击犯罪和恐怖主义的重要工具。目前市场上的大多数系统都是相对标准的DVR（数字视频录像机），几乎没有智能功能。拟议的创新（自动对象跟踪）是一个智能功能，可以通过允许它获得更好，更有用的图像来显着提高标准系统的功能。由于许多最终用户都需要此功能，因此它对设备供应商和集成商具有很大的吸引力。此外，通过引入新的对象跟踪模型，所提出的创新还推进了图像处理和计算机视觉研究的最新技术。