A descriptor combining MHI and PCOG for human motion classification
Proceedings of the ACM International Conference on Image and Video Retrieval
Dynamic textures for human movement recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
Feature detector and descriptor evaluation in human action recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
Facial expression classification based on local spatiotemporal edge and texture descriptors
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Space-time Zernike moments and pyramid kernel descriptors for action classification
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Directional space-time oriented gradients for 3d visual pattern analysis
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
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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.