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传感器和计算机计算的发展影响了新型计算机网络和处理框架的发展。其中,中小型视频监控网络已经被广泛应用。在现代监控系统中,多摄像机追踪问题中的一个主要挑战是如何在不同的FOV下保持目标标识的连续性。尽管静态摄像机网络可以为监控任务覆盖一个广阔的区域,但为了增加摄像机监控区域增加摄像机可视角度时,图片分辨率会因此降低;当不存在重叠的FOV时,信号处理必须仍然在单个数据源上执行。因此,PTZ摄像机的引入,为摄像机网
The development of sensors and computer computing has affected the development of new computer networks and processing frameworks. Among them, small and medium-sized video surveillance network has been widely used. In modern surveillance systems, one of the major challenges in the multi-camera tracking problem is how to maintain the continuity of target identifications under different FOVs. Although the static camera network can cover a wide area for monitoring tasks, the picture resolution is reduced in order to increase the camera viewing angle in the camera surveillance area. When there is no overlapping FOV, the signal processing must still be performed on a single data source On the implementation. Therefore, the introduction of PTZ camera for the camera network