Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …

Telepresence robots are becoming popular in social interactions involving health care,
elderly assistance, guidance, or office meetings. There are two types of human …

Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …

This paper proposes a new graph convolutional operator called central difference graph
convolution (CDGC) for skeleton based action recognition. It is not only able to aggregate …

Human action recognition has been applied in many fields, such as video surveillance and
human computer interaction, where it helps to improve performance. Numerous reviews of …

It is the prerequisite to ensure the safety of road users in traffic scenes for the application of
autonomous vehicles. Pedestrians are the main participants in traffic scenes, and …

The output of Microsoft Kinect is a multimodal signal, which provides RGB videos, depth
sequences and skeleton information at the same time, opening up a new opportunity for the …

A convolutional neural network (CNN) is an important and widely utilized part of the artificial
neural network (ANN) for computer vision, mostly used in the pattern recognition system …

The safety of human workers has been the main concern in human-robot close
collaboration. Along with rapidly developed artificial intelligence techniques, deep learning …

The pedestrian trajectory prediction remains challenging due to its uncertainty and
interference from surrounding pedestrians. There are two deficiencies in previous …