Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …

The field of computer vision has undergone rapid growth in recent years, yet the use of
computer vision in offsite construction remains an under-researched area of study. Given the …

Automated techniques for evaluating sports activities inside dynamic frames are highly
dependent on advanced sports analysis by smart machines. The monitoring of individuals …

Abstract According to the Wall Street Journal, one billion surveillance cameras will be
deployed around the world by 2021. This amount of information can be hardly managed by …

Coordinating dynamic interceptive actions in sports like badminton requires skilled
performance in getting the racket into the right place at the right time. For this reason, the …

This paper focuses on image and video content analysis of handball scenes and applying
deep learning methods for detecting and tracking the players and recognizing their activities …

In the past few years, due to the growth of the open-source community and the popularity of
perceptual computing resources, the ROS (Robotic Operating System) Ecosystem has been …

Professionally broadcasted sports videos usually have long durations but contain only a few
exciting events. In general, professional bodies and amateur content creators spend …

Systematic testing enables coaches to analyze effectiveness of the training process. This
paper deals with the usage of technical means in the context of handball training and …

Player pose estimation is particularly important for sports because it provides more accurate
monitoring of athlete movements and performance, recognition of player actions, analysis of …