ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A 3-dimensional sift descriptor and its application to action recognition
Proceedings of the 15th international conference on Multimedia
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
International Journal of Computer Vision
Finding Actions Using Shape Flows
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object tracking using SIFT features and mean shift
Computer Vision and Image Understanding
A survey on vision-based human action recognition
Image and Vision Computing
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Sparse coding on local spatial-temporal volumes for human action recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Boosted multi-class semi-supervised learning for human action recognition
Pattern Recognition
Adaptive human motion analysis and prediction
Pattern Recognition
Beyond sparsity: The role of L1-optimizer in pattern classification
Pattern Recognition
Joint dynamic sparse representation for multi-view face recognition
Pattern Recognition
Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Sparse Representations for Human Action Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Perceptual Features With Diffusion Distance for Face Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fisher Discrimination Dictionary Learning for sparse representation
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Sparse representation or collaborative representation: Which helps face recognition?
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Sparse dictionary-based representation and recognition of action attributes
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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Due to its various applications, human action recognition has been widely studied and achieved tremendous progress. However, how to learn an accurate and discriminative behavior representation based on the extracted features remains as a challenging problem. In this paper, we present an effective coding scheme that can discover the manifold structure of the learned features with an l"2-norm regularization. Coupled with a local constraint, the proposed coding scheme, which has an analytical solution can learn an accurate, compact and yet discriminative behavior representation. After the behavior representations are obtained, the action recognition problem is formulated as a sparse linear representation of an overcomplete dictionary constructed by labeled behavior representations. The same manifold l"2-norm regularization is also employed in this stage. The reconstruction error associated with each class is used for classification. Experimental results demonstrate the effectiveness of the proposed approach on several public datasets including various physical actions and facial expressions.