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Filtering of Images for Detecting Multiple Targets Trajectories

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Book cover Statistical Modeling and Analysis for Complex Data Problems

Abstract

The aim of this paper is to present efficient algorithms for the detection of multiple targets in noisy images. The algorithms are based on the optimal filter of a multidimensional Markov chain signal. We also present some simulations, in the case of one, two and three targets, showing the efficiency of the method for detecting the positions of the targets.

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References

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© 2005 Springer Science+Business Media, Inc.

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Gentil, I., Rémillard, B., Del Moral, P. (2005). Filtering of Images for Detecting Multiple Targets Trajectories. In: Duchesne, P., RÉMillard, B. (eds) Statistical Modeling and Analysis for Complex Data Problems. Springer, Boston, MA. https://doi.org/10.1007/0-387-24555-3_13

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