Object tracking by color-based particle filter techniques in videosequences
Ján Valiska, Stanislav Marchevský, Rastislav Kokoška · 2014
The problematics of particle filtering is a large field of scientific research. A large part of the theory of Bayesian filters is dealing with objects tracking in video sequences. This contribution clarifies the tracking of different visual objects using particle filter based on color properties of these objects. The article compare particle filter object tracking using single color with filter that uses observation of object color distribution known as color histogram. Comparing experimental results of simulations of both types of filters, this work give a clear view to pros and cons of used methods and thus contributes to the clarity of research area.