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A COLOR FEATURES-BASED METHOD FOR OBJECT TRACKING EMPLOYING A PARTICLE FILTER ALGORITHM
2009
AIP Conference Proceedings
We proposed a method for object tracking employing a particle filter based on color feature method. A histogram-based framework is used to describe the features. Histograms are useful because they have property that they allow changes in the object appearance while the histograms remain the same. Particle filtering is used because it is very robust for non-linear and non-Gaussian dynamic state estimation problems and performs well when clutter and occlusions are present on the image.
doi:10.1063/1.3223931
fatcat:wehs53oavfet5kl46crgh5lusu