Cnn networks using for person re-identification in urban scenes

Currently, video surveillance systems are becoming more widespread. One of the main goals of such systems is to control and track a person's movement. The solution of this problem allows us to solve such applied problems as tracking the occupancy of various premises (whether shopping facilities or educational and cultural institutions), creating a motion heatmap or organizing control of access to a particular object. The present paper proposes a method based on a combination of various neural networks, which allows solving these problems with high accuracy.