Temporal gesture segmentation for recognition

This paper presents a method for temporal gesture segmentation based on the total activity of the video sequence. The new point of this method is that we apply some filters on the sequence and on the total activity plot that makes our method more robust to noise. This method has been shown to be very efficient on a very big data of the new contest CHALEARN on hand gesture recognition. This method can be a good reference for participants to the CHALEARN contest. The method is generic so could be applied for any shot boundary problem.

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