Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

In this section, a various levelled picture matting method is utilized to extract veins from
fundus pictures. All the more explicitly, a various levelled methodology is joined into the …

Construction waste brings great trouble to urban environmental management. The
traditional construction waste disposal method has high operability and low cost. In this …

The review on human behavior recognition and human error behavior is discussed in this
paper. Human error has advanced understanding of human behavior and provided a set of …

In this paper, we present a hybrid spatio-temporal embedding network (named as STENet)
for human trajectory forecasting, which is built upon a GAN-based hierarchical framework …

The automated recognition of vehicle interaction is crucial for self-driving, collision
avoidance and security surveillance applications. In this paper, we present a novel Long …

In this study, we proposed a behavior analysis for increasing the efficiency of human–robot
collaboration in an assembly task. This study was inspired by previous research, in which a …

This paper presents a novel Deep Convolutional Neural Network (DCNN) method for
vehicle activity classification. We extend our previous approach to be able to classify a larger …

A number of initiatives have been undertaken using robotics and remote sensing in the
humanitarian mine action (HMA) sector over recent years. A new consortium of specialists …

The automated analysis of interacting objects or vehicles has many uses, including
autonomous driving and security surveillance. In this paper we present a novel method for …