Welcome to MURI Nonlinear Tracking Wiki!

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, including target-tracking, video-surveillance, activity recognition and tracking, to name a few.

News

• [08/12/10] The MURI PI meeting will take place at Brown University on September 21, 2010.
• [08/14/08] 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.