Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
3D Model Retrieval with Spherical Harmonics and Moments
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Real-time Human Motion Analysis by Image Skeletonization
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Inference of Human Postures by Classification of 3D Human Body Shape
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
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
Human action recognition using star skeleton
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A differential geometric approach to representing the human actions
Computer Vision and Image Understanding
Technical Section: Fourier method for large-scale surface modeling and registration
Computers and Graphics
View-invariant gesture recognition using 3D optical flow and harmonic motion context
Computer Vision and Image Understanding
Object, scene and actions: combining multiple features for human action recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Action Recognition by Multiple Features and Hyper-Sphere Multi-class SVM
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Multiple Kernel Learning Algorithms
The Journal of Machine Learning Research
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Fitting distal limb segments for accurate skeletonization in human action recognition
Journal of Ambient Intelligence and Smart Environments
Mining actionlet ensemble for action recognition with depth cameras
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Recognizing actions using depth motion maps-based histograms of oriented gradients
Proceedings of the 20th ACM international conference on Multimedia
A SURF-Based spatio-temporal feature for feature-fusion-based action recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Fusion of human posture features for continuous action recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
CVPR '13 Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition
Learning discriminative representations from RGB-D video data
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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This paper presents two sets of features, shape representation and kinematic structure, for human activity recognition using a sequence of RGB-D images. The shape features are extracted using the depth information in the frequency domain via spherical harmonics representation. The other features include the motion of the 3D joint positions (i.e. the end points of the distal limb segments) in the human body. Both sets of features are fused using the Multiple Kernel Learning (MKL) technique at the kernel level for human activity recognition. Our experiments on three publicly available datasets demonstrate that the proposed features are robust for human activity recognition and particularly when there are similarities among the actions.