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Communication Dans Un Congrès Année : 2013

Action recognition using bag of features extracted from a beam of trajectories

Thanh Phuong Nguyen
Antoine Manzanera

Résumé

A new spatio temporal descriptor is proposed for action recognition. The action is modelled from a beam of trajec-tories obtained using semi dense point tracking on the video sequence. We detect the dominant points of these trajecto-ries as points of local extremum curvature and extract their corresponding feature vectors, to form a dictionary of atomic action elements. The high density of these informative and invariant elements allows effective statistical action descrip-tion. Then, human action recognition is performed using a bag of feature model with SVM classifier. Experimentations show promising results on several well-known datasets.
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Dates et versions

hal-01118263 , version 1 (24-02-2015)

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Thanh Phuong Nguyen, Antoine Manzanera. Action recognition using bag of features extracted from a beam of trajectories. IEEE International Conference on Image Processing (ICIP), Sep 2013, melbourne, Australia. pp.4354 - 4357, ⟨10.1109/ICIP.2013.6738897⟩. ⟨hal-01118263⟩
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