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

这项小型企业创新研究（SBIR）第二阶段项目旨在为视频监控系统中的泛倾斜变焦（PTZ）摄像机开发一类新的移动目标跟踪算法和软件原型。在今天的大多数视频监控系统中，人工操作员使用PTZ摄像机手动执行实时目标跟踪。这通常是压力和效率低下的（一个操作员一次只能控制一个PTZ相机），并导致不一致的结果。拟议的项目将开发一种新的算法来指导PTZ相机自动跟踪多个感兴趣的移动物体。使用具有新对象状态和观察模型的最优滤波器来实现这一点。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，以提高其能力。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。提出的创新（自动目标跟踪）是一个智能功能，可以通过允许它获得更好和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高的吸引力。此外，通过引入新的目标跟踪模型，提出的创新也推进了图像处理和计算机视觉研究的最新进展。

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.