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Robust multiple object tracking by detection with interacting Markov chain Monte Carlo
2013
2013 IEEE International Conference on Image Processing
This paper presents a novel and computationally efficient multiobject tracking-by-detection algorithm with interacting particle filters. The proposed online tracking methodology could be scaled to hundreds of objects and could be completely parallelized. For every object, we have a set of two particle filters, i.e. local and global. The local particle filter models the local motion of the object. The global particle filter models the interaction with the other objects and scene. These particle
doi:10.1109/icip.2013.6738608
dblp:conf/icip/SunderrajanKM13
fatcat:sis2upj3ibbgvmg75xvk5uaywa