VISUAL RECOGNITION OF EVENTS AND ACTIVITIES BASED ON MOMENTUM OF MOTION ENERGY MASS

We propose a new activity-based event recognition system that is based on the construction of a novel Momentum Template combining the apparent moving areas and the velocity of the associated movement. Consideration is also given to movement that is not taking place in parallel to the projection plane of the camera. The construction of the momentum template is followed by the application of an angular transform. Linear discriminant analysis is applied to angular coefficients for dimensionality reduction. Recognition is performed by comparing Euclidean distances in the resulting subspace. Experimental evaluation in comparison to other recent methods shows the efficiency of the proposed method.