Welcome to the Nonlinear Tracking MURI Project

The main objective of the project is to develop new Non-Linear Filtering (NLF) algorithms for large-scale spatial-temporal data. This technology will enable to simultaneously analyze large number of targets and/or complicated evolving spatial patterns based on incomplete and noisy observations. NLF is a field on the cutting edge of contemporary stochastic analysis, information theory, and statistical inference, which has an enormous breadth of applications, such as target detection and tracking, video-surveillance, covert activity recognition and tracking, to name a few.

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Participating centers and laboratories

• CAMS: Center for Applied mathematical Sciences
• CRUE: Center for Research on Unexpected Events

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News

• [16/8/08] The MURI PI meeting will take place at Brown University on September 16, 2008.

• [14/8/08] Disaster LA website up and running: http://www.math.ucla.edu/~mbshort/Disaster_LA

• [9/8/06] Dr. Boris Rozovsky [PI] is moving to Brown University. Congratulations Boris and good luck in your transition! He will maintain a joint appointment with USC Mathematics and Brown.

• [9/8/06] Launch of the Nonlinear Tracking MURI collaborative website. This website will serve as a portal to ongoing work related to the MURI project and as a means to promote collaboration among the participating researchers.

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