Human Action Recognition Based on Fuzzy Support Vector Machines

As human action is uncertain and illegible, a human action recognition method basing on fuzzy support vector machine is presented. Fuzzy support vector machine employs the membership function to solve the unclassifiable areas which happens the traditional SVMs´ two-class problems extend to the multi-class problems. the method is evaluated on the Weizmann action dataset and received comparative high correct recognition rate. the experimental results show that our approach has efficient recognition performance.