Human Pose Estimation (HPE) is the task that aims to predict the location of human joints
from images and videos. This task is used in many applications, such as sports analysis and …

Information and communication technologies (ICTs) have led to the emergence of a variety
of active and innovative teaching methods. This is the case in role-playing, which consists of …

Abnormal event detection in videos plays an essential role for public security. However,
most weakly supervised learning methods ignore the relationship between the complicated …

Recently, stacked hourglass network has shown outstanding performance in human pose
estimation. However, repeated bottom-up and top-down stride convolution operations in …

Physical aggression is a serious and widespread problem in society, affecting people
worldwide. It impacts nearly every aspect of life. While some studies explore the root causes …

In the past years, pedestrian detection has achieved significant progress via improving the
visual description. However, the visual description is not robust to discover the occluded …

The task of Human-Object Interaction (HOI) detection devotes to learn how humans interact
with surrounding objects via inferring fine-grained triplets of human, verb, object. Most HOI …

The evolution of technologies for the capture of human movement has been motivated by a
number of potential applications across a wide variety of fields. However, capturing human …

To improve the effect of multi-target tracking, this paper proposes an indoor trajectory
tracking method based on particle filtering, which automatically completes the construction …

Video pose estimation is widely employed to monitor the activities of workers at construction
sites. However, previous studies have often overlooked the challenges posed by complex …