PEOPLE REIDENTIFCATION IN A DISTRIBUTED CAMERA NETWORK

This paper presents an approach to the object reidenti cation problem in a distributed camera network system. The reidenti cation or reacquisition problem consists essentially on the matching process of images acquired from different cameras. This work is applied in a monitored environment by cameras. This application is important to modern security systems, in which the targets presence identi cation in the environment expands the capacity of action by security agents in real time and provides important parameters like localization for each target. We used target’s interest points and target’s color with features for reidenti cation. The satisfactory results were obtained from real experiments in public video datasets and synthetic images with noise.