An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS

Speed Up Robust Feature (SURF) and Local Contour Sequence(LCS) are methods used for feature extraction techniques for dynamic gesture recognition. A problem presented by these techniques is the large amount of data in the output vector which difficult the classification task. This paper presents a novel method for dimensionality reduction of the features extracted by SURF and LCS, called Convexity Approach. The proposed method is evaluated in a gesture recognition task and improves the recognition rate of LCS while SURF while decreases the amount of data in the output vector.

@InProceedings{BBBF13,
 	 author =  {Barros, Pablo and Bisneto, Juvenal and Bezerra, Byron and Fernandes, Sérgio},
 	 title = {An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS},
 	 booktitle = {International Conference on Artificial Neural Networks (ICANN)},
 	 journal = {None},
 	 editors = {}
 	 number = {}
 	 volume = {}
 	 pages = {412--419},
 	 year = {2013},
 	 month = {Sep},
 	 publisher = {None},
 	 doi = {}
 }