Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Detection and Recognition of Periodic, Nonrigid Motion
International Journal of Computer Vision
View-Invariant Analysis of Cyclic Motion
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Spikes: exploring the neural code
Spikes: exploring the neural code
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion-Based Recognition
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Ultra-Rapid Scene Categorization with a Wave of Spikes
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Monocular tracking of the human arm in 3D
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Silhouette-Based Human Identification from Body Shape and Gait
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Object Recognition with Features Inspired by Visual Cortex
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Multiclass Object Recognition with Sparse, Localized Features
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Disambiguating Visual Motion by Form-Motion Interaction--a Computational Model
International Journal of Computer Vision
Learning a dictionary of shape-components in visual cortex: comparison with neurons, humans and machines
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Behavior recognition via sparse spatio-temporal features
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
Recognition of human behavior by space-time silhouette characterization
Pattern Recognition Letters
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Roles of motion and form in biological motion recognition
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Learning features of intermediate complexity for the recognition of biological motion
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Some inequalities for information divergence and related measures of discrimination
IEEE Transactions on Information Theory
Which model to use for cortical spiking neurons?
IEEE Transactions on Neural Networks
Locally excitatory globally inhibitory oscillator networks
IEEE Transactions on Neural Networks
A survey on vision-based human action recognition
Image and Vision Computing
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Relevance feedback for real-world human action retrieval
Pattern Recognition Letters
Action recognition via bio-inspired features: The richness of center-surround interaction
Computer Vision and Image Understanding
Learning representations for animated motion sequence and implied motion recognition
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
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We propose a bio-inspired feedforward spiking network modeling two brain areas dedicated to motion (V1 and MT), and we show how the spiking output can be exploited in a computer vision application: action recognition. In order to analyze spike trains, we consider two characteristics of the neural code: mean firing rate of each neuron and synchrony between neurons. Interestingly, we show that they carry some relevant information for the action recognition application. We compare our results to Jhuang et al. (Proceedings of the 11th international conference on computer vision, pp. 1---8, 2007) on the Weizmann database. As a conclusion, we are convinced that spiking networks represent a powerful alternative framework for real vision applications that will benefit from recent advances in computational neuroscience.