@InProceedings{amal-2013,


author = {Amal Mahboubi and Luc Brun and Donatello Conte and Pasquale Foggia and Mario Vento},
title = {Tracking System with Re-identification Using a Graph Kernels
Approach},
booktitle = {Computer Analysis Images and Patterns 2013},
year = 2013,
month = {August},
address = {York},
editor = {R. Wilson and E. Hancock and A. Bors and W. Smith},
pages= {401-408},
volume = {lncs 8047},
theme= "pattern",
abstract= "This paper addresses people re-identification
problem for visual surveillance applications. Our
approach is based on a rich description of each
occurrence of a person thanks to a graph encoding of
its salient points. The appearance of persons in a
video is encoded by bags of graphs whose
similarities are encoded by a graph kernel. Such
similarities combined with a tracking system allow
us to distinguish a new person from a re-entering
one into the video. The efficiency of our method is
demonstrated through experiments.",
url = {Pdf := https://brunl01.users.greyc.fr/ARTICLES/caip_amal_2013.pdf}

 }