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Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking.

, , , , , and . Digit. Signal Process., (2014)

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Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking., , , , , and . Digit. Signal Process., (2014)Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter., , , and . EURASIP J. Adv. Signal Process., (2009)A comparative analysis of covariance matrix estimation in anomaly detection., , , and . WHISPERS, page 1-4. IEEE, (2014)Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods., , , , and . IEEE Trans. Signal Process., 59 (4): 1383-1396 (2011)Efficient Empirical Reflectance Retrieval in Urban Environments., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (3): 1596-1601 (2013)Dense registration of push broom hyperspectral imageries., , , and . WHISPERS, page 1-4. IEEE, (2011)Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images., , , and . IEEE J. Sel. Top. Signal Process., 9 (6): 1061-1073 (2015)Ground target group structure and state estimation with particle filtering., , , , and . FUSION, page 1-8. IEEE, (2008)Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering., , , and . FUSION, page 1-7. IEEE, (2008)Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods., , , , , and . Modeling, Simulation and Visual Analysis of Crowds, volume 11 of The International Series in Video Computing, Springer, (2013)