An MCMC-based Particle Filter Export

@misc{citeulike:347153, abstract = {We describe a Markov chain Monte Carlo based particle filter that e\#ectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or behavior of other targets. Such interactions cause problems for traditional approaches to the data association problem. In response, we developed a joint tracker that includes a more sophisticated motion model to maintain the identity of targets throughout an interaction, drastically reducing tracker failures. The paper...}, author = {Multiple, For T.}, citeulike-article-id = {347153}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.4663}, keywords = {filter, mcmc, particle, tracking, visual}, posted-at = {2007-08-07 14:49:10}, priority = {0}, title = {An MCMC-based Particle Filter}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.4663} }

TY - GEN ID - citeulike:347153 L3 - citeulike-article-id:347153 N2 - We describe a Markov chain Monte Carlo based particle filter that e#ectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or behavior of other targets. Such interactions cause problems for traditional approaches to the data association problem. In response, we developed a joint tracker that includes a more sophisticated motion model to maintain the identity of targets throughout an interaction, drastically reducing tracker failures. The paper... TI - An MCMC-based Particle Filter KW - filter KW - mcmc KW - particle KW - tracking KW - visual AU - Multiple, For UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.4663 ER -