%0 Conference Paper %1 torma2001 %A Torma, P. %A Szepesvári, Cs. %B 5th IFAC Symposium on Nonlinear Control Systems (NOLCOS'01) %D 2001 %K application filtering, particle theory, vision, %P 715--719 %T LS-N-IPS: an Improvement of Particle Filters by Means of Local Search %X A modification of N-IPS, a well known particle filter method is proposed and is shown to be more efficient than the baseline algorithm in the small sample size limit and when the observations are ``reliable''. The algorithm called LS-N-IPS adds local search to the baseline algorithm: in each time step the predictions are refined in a local search procedure that utilizes the most recent observation. The uniform stability of LS-N-IPS is studied and results of experiments are reported both for a simulated and a real-world (visual) tracking problem.

@inproceedings{torma2001, abstract = {A modification of N-IPS, a well known particle filter method is proposed and is shown to be more efficient than the baseline algorithm in the small sample size limit and when the observations are ``reliable''. The algorithm called LS-N-IPS adds local search to the baseline algorithm: in each time step the predictions are refined in a local search procedure that utilizes the most recent observation. The uniform stability of LS-N-IPS is studied and results of experiments are reported both for a simulated and a real-world (visual) tracking problem.}, added-at = {2020-03-17T03:03:01.000+0100}, author = {Torma, P. and Szepesv{\'a}ri, {Cs}.}, biburl = {https://www.bibsonomy.org/bibtex/233daac582df8d554faf2bdbab5dbbc7d/csaba}, booktitle = {5th IFAC Symposium on Nonlinear Control Systems (NOLCOS'01)}, date-modified = {2010-09-02 13:09:16 -0600}, interhash = {53944cb8bdb9ad2ad13df532adf4cc22}, intrahash = {33daac582df8d554faf2bdbab5dbbc7d}, keywords = {application filtering, particle theory, vision,}, owner = {Beata}, pages = {715--719}, pdf = {papers/LSNIPS.ps.pdf}, timestamp = {2020-03-17T03:03:01.000+0100}, title = {{LS-N-IPS}: an Improvement of Particle Filters by Means of Local Search}, year = 2001 }