一、摘要

Ubiquitousness of multiple cameras in surveillance systems is very beneficial for studying peoples behavior. The multiple views of the observed scene permit the management of dynamic occlusions and failures that may affect any sensor. The multi-camera tracking of objects is considered as the basic step in the design of intelligent surveillance applications. This thematic had been addressed in several researches. V arious methods had been proposed to achieve an accurate tracking in the most challenging conditions as occlusions and lighting variations. These methods are addressed in two main research lines: the centralized and the distributed tracking approaches. In this paper, we propose an overview of the multi-camera tracking of objects which summarizes and classifies the most used existing methods.

对多摄像头视图下的目标进行跟踪是智能监控应用设计的基本步骤
多摄像头多目标跟踪任务已在若干研究中得到解决。各种方法已经被提出，以实现在最具挑战性的条件下，如遮挡和照明变化的精确跟踪。
这些方法有两个主要的研究方向:**集中式（centralized）和分布式（distributed）**跟踪方法
相比于使用单摄像头，
- **使用多摄像头的好处：**可以减少拥挤环境中的因遮挡或故障造成的误差，这些故障可能会影响任何传感器和大面积监测能力，
- **使用多摄像头的坏处：**在多摄像头系统中，目标的跟踪是非常具有挑战性的，因为跟踪过程需要融合来自不同传感器（摄像头）的信息。