EAGER: US Ignite: Mobility-Enhanced Public Safety Surveillance System using 3D Cameras and High Speed Broadband Networks

这个美国项目的目标是开发和演示3D摄像头在通过高速无线网络连接到基于云计算的警用汽车上的实用性。 基于摄像头的监控系统在帮助执法部门管理公共安全方面发挥着重要作用，但现有系统存在一些缺点。第一个限制是，大多数当前系统依赖于静态摄像机，这限制了执法部门根据需要将摄像机部署到目标区域的灵活性。第二个限制是，大多数监控摄像头在夜间或雾天等能见度较差的环境中无法正常工作。通过结合后端该项目将在坦普尔大学校园警察局的警车汽车上安装3D摄像头，并将3D摄像头安装在警车上。通过坦普尔大学GENI WiMax和校园WiFi基础设施将视频数据拖到校园计算集群进行分析，并将结果作为警报或其他status. 该项目扩展了目标跟踪和检测的现有工作，以处理3D视频馈送。 该项目正在与坦普尔大学校园警察部门一起运行，该部门正在提供领域专门知识并促进原型系统的测试。

The goal of this US Ignite project is to develop and demonstrate the utility of 3D cameras on police cars connected to cloud-based computing via high-speed wireless networks. Camera-based surveillance systems play an important role in helping law enforcement manage public safety but existing systems have several drawbacks. The first limitation is that most current systems rely on static cameras, which limits the flexibility for law enforcement to deploy the cameras to targeted areas as needed. The second limitation is that most surveillance cameras do no work well in environments with poor visibility such as nighttime or fog. By combining back-end (or cloud-based)video processing with 3D cameras the project addresses both of these issues.The project will install 3D cameras on police cars belonging to the Temple University campus police department and back-haul the video data via the Temple University GENI WiMax and campus WiFi infrastructures to a campus computing cluster for analysis with the results being relayed back to the police officers as alerts or other status. The project extends existing work on target tracking and detection to deal with 3D video feeds. The project in being run in conjunction with the Temple University campus police department which is providing domain expertise and facilitating testing of the prototype system.