Algorithms for people re-identification from RGB-D videos exploiting skeletal information

In this thesis a novel methodology to face people re-identification problem is proposed. Re-identification is a complex research topic representing a fundamental issue especially for intelligent video surveillance applications. Its goal is to determine the occurrences of the same person in different video sequences or images, usually by choosing from a high number of candidates within a dataset