A probability density function (PDF) based approach to the multitarget tracking problem is presented. The input data is measurements over time from a front-end detector. The desired output is the number of targets present and the parameters of each target. The same approach has previously been used for time delay detection and tracking problems and is adapted to this problem. This approach is an alternative to the traditional approach of 'association' and 'tracking' on the measurements.