Estimating Path in camera network with non-overlapping FOVs

In recent years, wide range of scene surveillance technology, widely used in the field of security monitoring, has become one of the important measure of security monitoring. The paper gives a method, in a single region, first use a low computational complexity of Kalman filter to replace the large computing TLD tracking module to obtain targets trajectories. Thus, in the non-overlapping regions, a Gaussian and mean cross-correlation function method is proposed to estimate the topological nodes between the cameras, which provides a stable camera correlation relationship for the continuous tracking in large scale scenes. The results show that the target tracking under the single region has good effect, and the topological relationship estimation between the cameras also has better anti-interference in the multi-region views, and feasible.