Listar por tema "Background modeling"
Mostrando ítems 1-8 de 8
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Background modeling by shifted tilings of stacked denoising autoencoders
(2019-06-18)The effective processing of visual data without interruption is currently of supreme importance. For that purpose, the analysis system must adapt to events that may affect the data quality and maintain its performance level ... -
Background modeling for video sequences by stacked denoising autoencoders
(2018-11-05)Nowadays, the analysis and extraction of relevant information in visual data flows is of paramount importance. These images sequences can last for hours, which implies that the model must adapt to all kinds of circumstances ... -
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences
(2019-06-07)A robust foreground detection system is presented, which is resilient to noise in video sequences. The proposed model divides each video frame in patches that are fed to a stacked denoising autoencoder, which is responsible ... -
Foreground detection enhancement using Pearson correlation filtering
(2018-06-08)Foreground detection algorithms are commonly employed as an initial module in video processing pipelines for automated surveillance. The resulting masks produced by these algorithms are usually postprocessed in order to ... -
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 ...