Huang Cheng-Ming, Fu Li-Chen
Department of Electrical Engineering, National Taiwan University, Taipei 106, Taiwan.
IEEE Trans Syst Man Cybern B Cybern. 2011 Feb;41(1):234-47. doi: 10.1109/TSMCB.2010.2050878. Epub 2010 Jun 14.
This paper presents a tracking-based surveillance system that is capable of tracking multiple moving objects, with almost real-time response, through the effective cooperation of multiple pan-tilt cameras. To construct this surveillance system, the distributed camera agent, which tracks multiple moving objects independently, is first developed. The particle filter is extended with target depth estimate to track multiple targets that may overlap with one another. A strategy to select the suboptimal camera action is then proposed for a camera mounted on a pan-tilt platform that has been assigned to track multiple targets within its limited field of view simultaneously. This strategy is based on the mutual information and the Monte Carlo method to maintain coverage of the tracked targets. Finally, for a surveillance system with a small number of active cameras to effectively monitor a wide space, this system is aimed to maximize the number of targets to be tracked. We further propose a hierarchical camera selection and task assignment strategy, known as the online position strategy, to integrate all of the distributed camera agents. The overall performance of the multicamera surveillance system has been verified with computer simulations and extensive experiments.
本文提出了一种基于跟踪的监控系统，该系统能够通过多个云台摄像机的有效协作，以几乎实时的响应跟踪多个移动物体。为构建此监控系统，首先开发了能够独立跟踪多个移动物体的分布式摄像机代理。通过扩展粒子滤波器并估计目标深度，以跟踪可能相互重叠的多个目标。然后针对安装在云台平台上的摄像机，提出了一种选择次优摄像机动作的策略，该摄像机已被分配在其有限视野内同时跟踪多个目标。此策略基于互信息和蒙特卡罗方法，以保持对被跟踪目标的覆盖。最后，对于具有少量活动摄像机以有效监控广阔空间的监控系统，该系统旨在最大化可跟踪目标的数量。我们进一步提出了一种分层摄像机选择和任务分配策略，即在线定位策略，以整合所有分布式摄像机代理。多摄像机监控系统的整体性能已通过计算机模拟和大量实验得到验证。
