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Vehicle Tracking Using Projective Particle Filter, Azeddine Beghdadi, Philippe Bouttefroy, Son Lam Phung, Abdesselam Bouzerdoum
Vehicle Tracking Using Projective Particle Filter, Azeddine Beghdadi, Philippe Bouttefroy, Son Lam Phung, Abdesselam Bouzerdoum
Faculty of Informatics - Papers (Archive)
This article introduces a new particle filtering approach for object tracking in video sequences. The projective particle filter uses a linear fractional transformation, which projects the trajectory of an object from the real world onto the camera plane, thus providing a better estimate of the object position. In the proposed particle filter, samples are drawn from an importance density integrating the linear fractional transformation. This provides a better coverage of the feature space and yields a finer estimate of the posterior density. Experiments conducted on traffic video surveillance sequences show that the variance of the estimated trajectory is reduced, resulting …