Mostrando 5 resultados de: 5
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Proceedings of the International Joint Conference on Neural Networks(2)
Advances in Intelligent Systems and Computing(1)
Computer Vision: Concepts, Methodologies, Tools, and Applications(1)
IEEE Access(1)
A Deep Learning Architecture for Recognizing Abnormal Activities of Groups Using Context and Motion Information
Conference ObjectAbstract: Currently, the automation of activity recognition of a group of people in closed and open environmenPalabras claves:Activity Description Vector, Human Behaviour Analysis, one-class classificationAutores:Azorín-López J., Luis Felipe Borja-Borja, Saval-Calvo M.Fuentes:googlescopusA Short Review of Deep Learning Methods for Understanding Group and Crowd Activities
Conference ObjectAbstract: The human behavior analysis in groups and crowds is an important research area in different fields oPalabras claves:Computer Vision, crowd, Datasets, deep learning, Group, Human behavior analysisAutores:Azorín-López J., Luis Felipe Borja-Borja, Saval-Calvo M.Fuentes:googlescopusA compilation of methods and datasets for group and crowd action recognition
Book PartAbstract: The human behaviour analysis has been a subject of study in various fields of science (e.g. sociologPalabras claves:Autores:Azorín-López J., Luis Felipe Borja-Borja, Saval-Calvo M.Fuentes:scopusDeep Learning Architecture for Group Activity Recognition using Description of Local Motions<sup>∗</sup>
Conference ObjectAbstract: Nowadays, the recognition of group activities is a significant problem, specially in video surveillaPalabras claves:convolutional neural networks, D-ADV, deep learning, group activity recognition, video surveillanceAutores:Azorín-López J., Fuster-Guilló A., Luis Felipe Borja-Borja, Saval-Calvo M.Fuentes:googlescopusArchitecture for Automatic Recognition of Group Activities Using Local Motions and Context
ArticleAbstract: Currently, the ability to automatically detect human behavior in image sequences is one of the mostPalabras claves:multi-class classification, Neural network architecture, one-class classificationAutores:Azorín-López J., Fuster-Guilló A., Luis Felipe Borja-Borja, Saval-Calvo M., Sebban M.Fuentes:googlescopus