In this paper we apply the Local Binary Pattern on Three Orthogonal Planes (LBP-TOP) descriptor to the field of human action recognition. A video sequence is described as a collection of spatial-temporal words after the detection of space-time interest points and the description of the area around them. Our contribution has been in the description part, showing LBP-TOP to be a promising descriptor for human action classification purposes. We have also developed several extensions to the descriptor to enhance its performance in human action recognition, showing the method to be computationally efficient.
|Publication status||Published - Sep 2009|
|Event||CAIP 2009 - 13th International Conference on Computer Analysis of Images and Patterns - Münster, Germany|
Duration: 1 Sep 2009 → …
|Conference||CAIP 2009 - 13th International Conference on Computer Analysis of Images and Patterns|
|Period||1/09/09 → …|