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Conference papers
An Expectation Maximisation Algorithm for Behaviour Analysis in Video
Abstract : 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.
https://hal-imt.archives-ouvertes.fr/hal-01198415
Contributor : François Septier Connect in order to contact the contributor
Submitted on : Saturday, September 12, 2015 - 3:34:24 PM
Last modification on : Wednesday, March 23, 2022 - 3:51:16 PM
Contributor : François Septier Connect in order to contact the contributor
Submitted on : Saturday, September 12, 2015 - 3:34:24 PM
Last modification on : Wednesday, March 23, 2022 - 3:51:16 PM