Information processing strategies and pathways in the primate retina and visual cortex
An introduction to neural and electronic networks
Automatic extraction and description of human gait models for recognition purposes
Computer Vision and Image Understanding
Computing and stability in cortical networks
Neural Computation
Synthesized affine invariant function for 2D shape recognition
Pattern Recognition
Fuzzy Sets and Systems
3D free-form object recognition in range images using local surface patches
Pattern Recognition Letters
A probabilistic approach for 3D shape retrieval by characteristic views
Pattern Recognition Letters
A fast algorithm for ICP-based 3D shape biometrics
Computer Vision and Image Understanding
Recognition of human behavior by space-time silhouette characterization
Pattern Recognition Letters
A canonical neural circuit for cortical nonlinear operations
Neural Computation
Class information predicts activation by object fragments in human object areas
Journal of Cognitive Neuroscience
A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Pattern Recognition Letters
Neuromimetic indicators for visual perception of motion
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Composition of complex motion models from elementary human motions
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Bio-inspired architecture for human detection
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
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In this paper we propose a bio-inspired architecture for the visual reconstruction of silhouettes of moving objects, based on the behaviour of simple cells, complex cells and the Long-Range interactions of these neurons present in the primary visual cortex of the primates. This architecture was tested with real sequences of images acquired in natural environments. The results combined with our previous results show the flexibility of our propose since it allows not only to reconstruct the silhouettes of objects in general, but also, allows to distinguish between different types of objects in motion. This distinction is necessary since our future objective is the identification of people by their gait.