@inbook{23292fecb90d48caa58a9f751cc10574,
title = "Two-Stage filtering scheme for sparse representation based interest point matching for person Re-identification",
abstract = "The objective of this paper is to study Interest Points (IP) filtering in video-based human re-identification tasks. The problem is that having a large number of IPs to describe person, Re-identification grows into a much time consuming task and IPs become redundant. In this context, we propose a Two-Stage filtering step. The first stage reduces the number of IP to be matched and the second ignores weak matched IPs participating in the re-identification decision. The proposed approach is based on the supervision of SVM, learned on training dataset. Our approach is evaluated on the dataset PRID-2011 and results show that it is fast and compare favorably with the state of the art.",
keywords = "Filtering, Interest point, Person re-identification, SVM, Sparse representation",
author = "Khedher, \{Mohamed Ibn\} and \{El Yacoubi\}, \{Mounim A.\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-25903-1\_30",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "345--356",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}