EXMOVES: Classifier-based Features for Scalable Action Recognition
@article{Tran2014EXMOVESCF, title={EXMOVES: Classifier-based Features for Scalable Action Recognition}, author={Du Tran and L. Torresani}, journal={CoRR}, year={2014}, volume={abs/1312.5785} }
This paper introduces EXMOVES, learned exemplar-based features for efficient recognition of actions in videos. The entries in our descriptor are produced by evaluating a set of movement classifiers over spatial-temporal volumes of the input sequence. Each movement classifier is a simple exemplar-SVM trained on low-level features, i.e., an SVM learned using a single annotated positive space-time volume and a large number of unannotated videos.
Our representation offers two main advantages… CONTINUE READING
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