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Colloquium - Fan

ECOT 831

Multi-Aspect Target Detection/Tracking Using Particle Filters
Oklahoma State University
Guoliang Fan photo

A new approach for multi-aspect target detection/tracking is proposed based on the sequential Monte Carlo estimation method. In addition to the conventional position and velocity parameters, we want to estimate aspect parameters as continuous values, including rotation, shearing, and scaling. Two particle filtering algorithms are implemented, i.e., Sequential Importance Resampling (SIR) and Auxiliary Particle Filter (APF). The simulation is conducted on the simulated infrared image sequences where the spatial clutter is modeled as the Gaussian-Markov random field (GMrF). Simulation results show that the proposed methods can well detect/track multi-aspect targets with time-variant aspects in a case of low target-to-clutter ratio.

Hosted by Jane Mulligan.

The Department holds colloquia throughout the Fall and Spring semesters. These colloquia, open to the public, are typically held on Thursday afternoons, but sometimes occur at other times as well. If you would like to receive email notification of upcoming colloquia, subscribe to our Colloquia Mailing List. If you would like to schedule a colloquium, see Colloquium Scheduling.

Sign language interpreters are available upon request. Please contact Stephanie Morris at least five days prior to the colloquium.

See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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