Page 1. 186 Med Clin (Barc). 2005;124(5):186-95 34 95.420 La utilización de eritropoyetinas recom... more Page 1. 186 Med Clin (Barc). 2005;124(5):186-95 34 95.420 La utilización de eritropoyetinas recombinantes humanas en pacien-tes con cáncer mejora la anemia y la calidad de vida. Este hecho ya demostrado hacía presagiar ...
The use of videos to extract information from the environment is one of the most challenging task... more The use of videos to extract information from the environment is one of the most challenging task in the computer vision area. The video sequences are of particular relevance for the recognition of humans in environments; in spite of the large databases existing in the literature, there is a lack of the uniformity among them which causes difficulties at the
Int. Conference on Artificial Neural Networks, 2008
In this paper we propose a bio-inspired connectionist architecture for visual classification of m... more In this paper we propose a bio-inspired connectionist architecture for visual classification of moving objects in articulated and non-articulated ones. It is based on a previous model called CONEPVIM, which uses the behaviour of simples cells in the visual primary cortex (V1) to estimate motion. Besides, on general new ideas on the area of neurophysiology for detecting the articulated moving
Int. Conference on Artificial Neural Networks, 2009
In this paper we propose a bio-inspired architecture for the visual reconstruction of silhouettes... more 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
In this paper we propose a bio-inspired architecture for visual recognition of humans at walking ... more In this paper we propose a bio-inspired architecture for visual recognition of humans at walking and objects that can be humans but do not describe a gait like humans at walking, based on the behaviour of simples cells in the human primary visual cortex. This architecture was tested with real sequences of images acquired in natural environments. The results show
In this paper we present a bio-inspired connectionist model for visual perception of motion and i... more In this paper we present a bio-inspired connectionist model for visual perception of motion and its pursuit. It is organized in three stages: a causal spatio-temporal filtering of Gabor-like type, an antagonist inhibition mechanism and a densely interconnected neural population. These stages are inspired by the neural treatment and the interactions of the primary visual cortex, middle temporal area and
Int. Conference on Artificial Neural Networks, 2010
In this paper we propose a bio-inspired architecture to detect, describe and distinguish objects ... more In this paper we propose a bio-inspired architecture to detect, describe and distinguish objects in motion. By using neuronal and physiological mechanisms in primary visual cortex (V1), middle temporal (MT) and inferotemporal (IT) areas we can start isolating the objects from their environment; then, track, label and distinguish the humans from non-human figures in motion and finally, represent the person’s
Page 1. 186 Med Clin (Barc). 2005;124(5):186-95 34 95.420 La utilización de eritropoyetinas recom... more Page 1. 186 Med Clin (Barc). 2005;124(5):186-95 34 95.420 La utilización de eritropoyetinas recombinantes humanas en pacien-tes con cáncer mejora la anemia y la calidad de vida. Este hecho ya demostrado hacía presagiar ...
The use of videos to extract information from the environment is one of the most challenging task... more The use of videos to extract information from the environment is one of the most challenging task in the computer vision area. The video sequences are of particular relevance for the recognition of humans in environments; in spite of the large databases existing in the literature, there is a lack of the uniformity among them which causes difficulties at the
Int. Conference on Artificial Neural Networks, 2008
In this paper we propose a bio-inspired connectionist architecture for visual classification of m... more In this paper we propose a bio-inspired connectionist architecture for visual classification of moving objects in articulated and non-articulated ones. It is based on a previous model called CONEPVIM, which uses the behaviour of simples cells in the visual primary cortex (V1) to estimate motion. Besides, on general new ideas on the area of neurophysiology for detecting the articulated moving
Int. Conference on Artificial Neural Networks, 2009
In this paper we propose a bio-inspired architecture for the visual reconstruction of silhouettes... more 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
In this paper we propose a bio-inspired architecture for visual recognition of humans at walking ... more In this paper we propose a bio-inspired architecture for visual recognition of humans at walking and objects that can be humans but do not describe a gait like humans at walking, based on the behaviour of simples cells in the human primary visual cortex. This architecture was tested with real sequences of images acquired in natural environments. The results show
In this paper we present a bio-inspired connectionist model for visual perception of motion and i... more In this paper we present a bio-inspired connectionist model for visual perception of motion and its pursuit. It is organized in three stages: a causal spatio-temporal filtering of Gabor-like type, an antagonist inhibition mechanism and a densely interconnected neural population. These stages are inspired by the neural treatment and the interactions of the primary visual cortex, middle temporal area and
Int. Conference on Artificial Neural Networks, 2010
In this paper we propose a bio-inspired architecture to detect, describe and distinguish objects ... more In this paper we propose a bio-inspired architecture to detect, describe and distinguish objects in motion. By using neuronal and physiological mechanisms in primary visual cortex (V1), middle temporal (MT) and inferotemporal (IT) areas we can start isolating the objects from their environment; then, track, label and distinguish the humans from non-human figures in motion and finally, represent the person’s
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Papers by Claudio Sanchez