This survey article explores graph-based approaches to multimodal human activity
recognition in indoor environments, emphasizing their relevance to advancing multimodal …

Being able to interactively detect and recognize 3D actions based on skeleton data, in
unsegmented streams, has become an important computer vision topic. It raises three …

In classification tasks, classifiers trained with finite examples might generalize poorly to new
data with unknown variance. For this issue, data augmentation is a successful solution …

This paper addresses the problem of data vectors modeling, classification and recognition
using infinite mixture models, which have been shown to be an effective alternative to finite …

The huge amount of data expanding day by day entail creating powerful real-time
algorithms. Such algorithms allow a reactive processing between the input multimedia data …

Direction of walk of a pedestrian is vital information in various applications like visual
surveillance, traffic monitoring and control, assisted living systems and automated car …

In this work we present methodologies based on Deep Learning for the recognition of static
and dynamic gestures of the hand, with applications in signs of Libras (Brazilian Sign …

Neste artigo propomos um método para reconhecer gestos estáticos da mao representados
por imagens de profundidade. Inicialmente, nós segmentamos amao do plano de fundo e …

Devido à recente popularização dos sensores de profundidade e de movimento, o
reconhecimento eficiente de gestos humanos tem se apresentado como uma alternativa …

The huge amount of data expanding day by day entail creating powerful real-time
algorithms. Such algorithms allow a reactive processing between the input multimedia data …