LittleBrother: Vision Systems Supporting Detection of Offenders in Public Places.

目前的视觉监控系统只有在提供完整的摄像机覆盖范围时才能跟踪某个区域内的人。该项目将开发一种视觉监视系统，能够跟踪和记录公共建筑物内人员的活动，只需要有限的视觉覆盖。我们将提出一种新的方法，通过使用不同身体部位的颜色直方图分解，估计身高和构建类型等特征来匹配来自远处相机的单个个体的图像。创建一个带有这种跟踪信息的记录将有效地支持安全官员在发生犯罪时确定责任方。

Current visual surveillance systems can track people in an area only if complete camera coverage is provided. This project will develop a visual surveillance system able to track and record people's movements in a public building requiring only limited visual coverage. We will propose novel ways of matching images of a single individual from distant cameras by using features such as color histograms decomposed for the different body parts, estimated height, and build type. Creating a record with this tracking information will effectively support security officers in the identification of responsible parties in the event of an offence.