Adaptive Motion Model for Human Tracking Using Particle Filter


This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tuned during the course of tracking by utilizing the main varying components of the pdf of the target’s acceleration and velocity. This motion model, along with the color histogram as… (More)
DOI: 10.1109/ICPR.2010.510


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