Listar por tema "Background features"
Mostrando ítems 1-4 de 4
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Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which ... -
Vehicle Classification in Traffic Environments Using the Growing Neural Gas
(Springer, 2017)Traffic monitoring is one of the most popular applications of automated video surveillance. Classification of the vehicles into types is important in order to provide the human traffic controllers with updated information ... -
Vehicle Type Detection by Convolutional Neural Networks
(Springer, 2017)In this work a new vehicle type detection procedure for traffic surveillance videos is proposed. A Convolutional Neural Network is integrated into a vehicle tracking system in order to accomplish this task. Solutions for ... -
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images
(IOS Press, 2018)The automatic detection and classification of vehicles in traffic sequences is a typical task which is carried out in many practical video surveillance systems. The advent of deep learning has facilitated the design of ...