Documentos de Ortiz-de-Lazcano-Lobato J.M. | REDI

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Mostrando 9 resultados de: 9

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Área temáticas: "Métodos informáticos especiales"

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Conference Object(8)

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)

Proceedings of the International Joint Conference on Neural Networks(2)

Integrated Computer-Aided Engineering(1)

Neural Processing Letters(1)

Área temáticas

Física aplicada(3)

Ciencias de la computación(1)

Funcionamiento de bibliotecas y archivos(1)

Instrumentos de precisión y otros dispositivos(1)

Otros productos finales y envases(1)

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Ciencias de la computación(7)

Visión por computadora(4)

Aprendizaje automático(2)

Red neuronal artificial(2)

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Origen

Palabras Claves

background features(2)

background modeling(2)

feed forward neural network(2)

foreground detection(2)

Competitive neural networks(1)

An anomaly detection system using a GHSOM-1

Conference Object

Abstract: An anomaly detection system based on a hierarchical self-organizing neural network is presented. The

Palabras claves:

Domínguez E., Esteban José Palomo, Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.

A Novel Continual Learning Approach for Competitive Neural Networks

Conference Object

Abstract: Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgettin

Palabras claves:

Competitive neural networks, Continual learning, unsupervised learning

Esteban José Palomo, Fernández-Rodríguez J.D., López-Rubio E., Maza-Quiroga R.M., Ortiz-de-Lazcano-Lobato J.M.

A competitive neural network for multiple object tracking in video sequence analysis

Conference Object

Abstract: Tracking of moving objects in real situation is a challenging research issue, due to dynamic changes

Palabras claves:

feature selection, Feature weigthing, Genetic Algorithms, Growing competitive neural networks, Multiple object tracking

Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.

Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras

Conference Object

Abstract: Automatic video surveillance systems are usually designed to detect anomalous objects being present

Palabras claves:

Convolutional neural network, feed forward neural network, foreground detection, PTZ camera

Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.

Feature weighting in competitive learning for multiple object tracking in video sequences

Conference Object

Abstract: Object tracking in video sequences remains as one of the most challenging problems in computer visio

Palabras claves:

Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.

Motion detection by microcontroller for panning cameras

Conference Object

Abstract: Motion detection is the first essential process in the extraction of information regarding moving ob

Palabras claves:

background features, background modeling, detection, Foreground, Probabilistic self-organizing maps

Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.

Motion detection with low cost hardware for PTZ cameras

Abstract: Pan-Tilt-zoom (PTZ) cameras are well suited to motion detection and tracking objects due to their mo

Palabras claves:

background features, background modeling, feed forward neural network, foreground detection, Motion detection, PTZ cameras

Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.

Growing competitive network for tracking objects in video sequences

Conference Object

Abstract: The aim of this paper is to present the use of Growing Competitive Neural Networks as a precise meth

Palabras claves:

Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.

Object tracking in video sequences by unsupervised learning

Conference Object

Abstract: A Growing Competitive Neural Network system is presented as a precise method to track moving objects

Palabras claves:

Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.