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Illumination invariant sequential filtering human tracking

Lu, Yifan; Xu, Dan; Wang, Lei; Hartley, Richard; Li, Hongdong


Many tracking problems can be efficiently solved by the Altering technique. Linear filter methods (e.g. Kaiman Filter) have shown their success and optimally in many linear settings with Gaussian noises. However, they expose inefficiency and weakness in the general nonlinear and high dimensional setting (e.g. human tracking). While, the advancement of Sequential Importance Re-sampling with Simulated Annealing has shown it is capable of handling nonlinearity and high dimensionality of human...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2010)
DOI: 10.1109/ICMLC.2010.5580491


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