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Tracking in High Target Densities Using a First-Order Multitarget Moment Density

Tracking in High Target Densities Using a First-Order Multitarget Moment Density

Tracking in High Target Densities Using a First-Order Multitarget Moment Density. Ronald Mahler, Ph.D. Lockheed Martin NE&SS Tactical Systems Eagan, Minnesota, USA 651-456-4819 / ronald.p.mahler@lmco.com IMA Industrial Seminar Series, University of Minnesota October 4, 2002. Problem.

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552 views • 39 slides
Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing. Stochastic point process . Building blocks Process on R {N(t)}, t in R, with consistent set of distributions Pr{N(I 1 )=k 1 ,..., N(I n )=k n } k 1 ,...,k n integers ?? 0 I's Borel sets of R.

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419 views • 34 slides
Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing.

Point processes on the line . Nerve firing. Stochastic point process . Building blocks Process on R {N(t)}, t in R, with consistent set of distributions Pr{N(I 1 )=k 1 ,..., N(I n )=k n } k 1 ,...,k n integers ?? 0 I's Borel sets of R.

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305 views • 30 slides
Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1} (Y 1 , Y 2 ) E(Y 1 Y 2 } = Prob{( Y 1 ,Y 2 ) = (1,1)} {Y(t)} case. mean level: c Y (t) = Prob{Y(t) = 1}

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316 views • 24 slides
Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1}

Segue from time series to point processes. Y = 0,1 E(Y) = Prob{Y = 1} (Y 1 , Y 2 ) E(Y 1 Y 2 } = Prob{( Y 1 ,Y 2 ) = (1,1)} {Y(t)} case. mean level: c Y (t) = Prob{Y(t) = 1}

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249 views • 24 slides

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