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We propose a feature for action recognition called Trajectory-Set (TS), ontop of the improved Dense Trajectory (iDT). The TS feature encodes onlytrajectories around densely sampled interest points, without any appearancefeatures. Experimental results on the UCF50, UCF101, and HMDB51 action datasetsdemonstrate that TS is comparable to state-of-the-arts, and outperforms manyother methods; for HMDB the accuracy of 85.4%, compared to the best accuracy of80.2% obtained by a deep method. Our code is available on-line athttps://github.com/Gauffret/TrajectorySet .

Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories