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Virtual view appearance representation for human motion analysis in multi-view environments

By: Lopez-Mendez, A.; Casas, J.R.; Canton-Ferrer, C.;

2010 / IEEE


This item from - IEEE Conference - 2010 18th European Signal Processing Conference - We propose a view-invariant representation of human appearance in multi-view scenarios consisting in a new set of views that overcome the view-dependency and moderate occlusion problems of fixed cameras. First, a 3D reconstruction of the scene is generated, from which we can track multiple persons in the scenario. For each tracked subject, we define a set of virtual views by projecting its associated 3D volume. The synthetic views can be generated in convenient directions to detect and classify a number of gestures useful in assistive and smart environments. Experimental results of the representation and event detection in a multi-camera environment prove the effectiveness of the proposed method.