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The utilisation of a network of heterogeneous sensors to track humans and analyse their behaviours in indoor environment is essential due to the high risk of occlusions. For this purpose, the Bayesian Occupancy (BOF) filter was shown efficient to fuse data coming from infrared and visible cameras by providing the occupancy/velocity probability distributions of each spatial cell of the grid representation...
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