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  • Action Recognition Using Random Forest Prediction with Combined Pose-based and Motion-based Features 

    Authors:Ar, İlktan; Akgül, Yusuf Sinan
    Publisher and Date:(IEEE, 2013)
    In this paper we propose a novel human action recognition system that uses random forest prediction with statistically combined pose-based and motion-based features. Given a set of training and test image sequences (videos) we first adopt recent techniques that extract low-level features: motion and pose features. Motion-based features which represent motion patterns in the consecutive images are formed by 3D Haar-like features. Pose-based features are obtained by the calculation of scale invariant ...