Survey on visual rhythms: A spatio-temporal representation for video sequences

MR e Souza, H de Almeida Maia, MB Vieira, H Pedrini - Neurocomputing, 2020 - Elsevier
Strategies for representing spatial and temporal information from video sequences in
images are very convenient due to the demand for efficient tools for storing, browsing …

[HTML][HTML] Action recognition using multi-scale temporal shift module and temporal feature difference extraction based on 2d cnn

KH Wu, CT Chiu - Journal of Software Engineering and Applications, 2021 - scirp.org
Convolutional neural networks, which have achieved outstanding performance in image
recognition, have been extensively applied to action recognition. The mainstream …

Research on the Application of CNN Face Recognition Technology in the Airport

L Xiao, X Li, Y Luo, L Ni, J Wang - Image Processing, Electronics …, 2024 - ebooks.iospress.nl
In today's interconnected world, ensuring the safety of airports assumes paramount
importance, given their pivotal role in facilitating global transportation. The rapid evolution of …

Detection of violent events in video sequences based on the census transform histogram operator= Detecção de eventos violentos em sequências de vídeos baseada …

FF de Souza - 2020 - repositorio.unicamp.br
Sistemas de vigilância em sequências de vídeo têm sido amplamente utilizados para o
monitoramento de cenas em diversos ambientes, tais como aeroportos, bancos, escolas …

[引用][C] Visual Rhythm-based Convolutional Neural Networks and Adaptive Fusion for a Multi-stream Architecture Applied to Human Action Recognition

H de Almeida Maia, MB Vieira, H Pedrini - Conference on Graphics, Patterns …, 2021 - SBC