The Application of Improved GG Clustering Algorithm in View-irrelevant Behavior Recognition

摘要

When cluster descriptors of behavior feature in the analyzing the behavior feature data of behavior under different view, the traditional FCM algorithm can not determine the number of clusters to the data with spherical structure, so this paper proposes an improved GG clustering algorithm to solve this problem. This algorithm determine the optimal cluster number by the indexes of inter-cluster compactness and the separation of clusters. Then model behavioral descriptors that have been clustered to reach the purpose of improving behavior recognition accuracy. The experimental results show that: the improved algorithm can classify and model behavioral descriptors better and improve the recognition accuracy.