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Istituto di Scienza e Tecnologie dell'Informazione     
Urfalioglu O., Kuruoglu E. E., Cetin E. A. Framework for online superimposed event detection by sequential Monte Carlo methods. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. ICASSP (Las Vegas, USA, March 31 - April 4 2008). Proceedings, pp. 2125 - 2128. IEEE, 2008.
 
 
Abstract
(English)
In this paper, we consider online seperation and detection of superimposed events by applying particle filtering. We concentrate on a model where a background process, represented by a 1D-signal, is superimposed by an Auto-Regressive (AR) 'event signal', but the proposed approach is applicable in a more general setting. The activation and deactivation times of the event-signal are assumed to be unknown. We solve the online detection problem of this superpositional event by extending the state space dimension by one. The additional parameter of the state represents the AR-signal, which is zero when deactivated. Numerical experiments demonstrate the effectiveness of our approach.
URL: http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=4518062&isnumber=4517521&punumber=4505270&k2dockey=4518062@ieeecnfs&query=%28+%28%28kuruoglu%29%3Cin%3Eau+%29+%29+%3Cand%3E+%28pyr+%3E%3D+2008+%3Cand%3E+pyr+%3C%3D+2008%29&pos=0&access=no
DOI: 10.1109/ICASSP.2008.4518062
Subject Event detection
Bayesian estimation
Sequential Monte Carlo
G.3 Probability and Statistics. Probabilistic algorithms (including Monte Carlo)
G.3 Probability and Statistics. Time series analysis
65C35 Stochastic particle methods
65C05 Monte Carlo methods


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