Integrated particle filter for target tracking
Zvonko Radosavljević, Darko Mušicki, Branko D. Kovačević, Woo-Chan Kim, Taek Lyul Song · 2014
Tracking in cluttered environments requires false track discrimination and data association. We extend the particle filter approach to include the data association probabilities and recursively calculate the probability of target existence. The probability of target existence may be used to discriminate false tracks.