A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Surveillance camera scheduling: a virtual vision approach
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Automatic Discovery of Action Taxonomies from Multiple Views
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Free viewpoint action recognition using motion history volumes
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Letters: Convex incremental extreme learning machine
Neurocomputing
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
The i3DPost Multi-View and 3D Human Action/Interaction Database
CVMP '09 Proceedings of the 2009 Conference for Visual Media Production
OP-ELM: optimally pruned extreme learning machine
IEEE Transactions on Neural Networks
Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow
AVSS '10 Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
Multi-view Gait Recognition Based on Motion Regression Using Multilayer Perceptron
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis
Computer Vision and Image Understanding
Modelling the effect of view angle variation on appearance-based gait recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Learning Sparse Representations for Human Action Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Circuits and Systems for Video Technology
Sparse dictionary-based representation and recognition of action attributes
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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In this paper, a method aiming at view-independent human action recognition is presented. Actions are described as series of successive human body poses. Action videos representation is based on fuzzy vector quantization, while action classification is performed by a novel classification algorithm, the so-called Sparsity-based Learning Machine (SbLM), involving two optimization steps. The first one determines a non-linear data mapping to a high-dimensional feature space determined by an l1-minimization process exploiting an overcomplete dictionary formed by the training samples. The second one, involves a training process in order to determine the optimal separating hyperplanes in the resulted high-dimensional feature space. The performance of the proposed human action recognition method is evaluated on two publicly available action recognition databases aiming at different application scenarios.