An Expectation Maximisation Algorithm for ...
Document type :
Communication dans un congrès avec actes
Title :
An Expectation Maximisation Algorithm for Behaviour Analysis in Video
Author(s) :
Isupova, Olga [Auteur]
University of Sheffield [Sheffield]
Mihaylova, Lyudmila [Auteur]
University of Sheffield [Sheffield]
Kuzin, Danil [Auteur]
University of Sheffield [Sheffield]
Markarian, Garik [Auteur]
Lancaster University
Septier, Francois [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
University of Sheffield [Sheffield]
Mihaylova, Lyudmila [Auteur]
University of Sheffield [Sheffield]
Kuzin, Danil [Auteur]
University of Sheffield [Sheffield]
Markarian, Garik [Auteur]
Lancaster University
Septier, Francois [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
Int. Conf. on Information Fusion (FUSION)
City :
Washington D.C.
Country :
Etats-Unis d'Amérique
Start date of the conference :
2015-07-06
Publication date :
2015-07-06
HAL domain(s) :
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
English abstract : [en]
Surveillance systems require advanced algorithms able to make decisions without a human operator or with minimal assistance from human operators. In this paper we propose a novel approach for dynamic topic modeling to ...
Show more >Surveillance systems require advanced algorithms able to make decisions without a human operator or with minimal assistance from human operators. In this paper we propose a novel approach for dynamic topic modeling to detect abnormal behaviour in video sequences. The topic model de- scribes activities and behaviours in the scene assuming behaviour temporal dynamics. The new inference scheme based on an Expectation-Maximisation algorithm is implemented without an approximation at intermediate stages. The proposed approach for behaviour analysis is compared with a Gibbs sampling inference scheme. The experiments both on synthetic and real data show that the model, based on Expectation-Maximisation approach, outperforms the one, based on Gibbs sampling scheme.Show less >
Show more >Surveillance systems require advanced algorithms able to make decisions without a human operator or with minimal assistance from human operators. In this paper we propose a novel approach for dynamic topic modeling to detect abnormal behaviour in video sequences. The topic model de- scribes activities and behaviours in the scene assuming behaviour temporal dynamics. The new inference scheme based on an Expectation-Maximisation algorithm is implemented without an approximation at intermediate stages. The proposed approach for behaviour analysis is compared with a Gibbs sampling inference scheme. The experiments both on synthetic and real data show that the model, based on Expectation-Maximisation approach, outperforms the one, based on Gibbs sampling scheme.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :