PEOPLE REIDENTIFICATION IN A DISTRIBUTED CAMERA NETWORK

Abstract

This paper presents an approach to the people reidentification problem in a distributed camera network system. The reidentification 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 identication 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 the target's color and target's interest points with features for reidentication. The satisfactory results were obtained from real experiments in public video datasets and synthetic images with noise.