People Reidentification in a Camera Network

Abstract

This paper presents an approach to the object reidentification problem in a 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 identification 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 reidentification. The satisfactory results were obtained from real experiments in public video datasets and synthetic images with noise.