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 …

Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

Due to a growing number of people who carry out various adrenaline activities or adventure
tourism and stay in the mountains and other inaccessible places, there is an increasing …

In recent years there has been remarkable progress in one computer vision application
area: object detection. One of the most challenging and fundamental problems in object …

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 …

Background: Artificial neural network helps humans in a wide range of activities, such as
sports. Objective: This paper aims to investigate the effect of artificial intelligence on decision …

The rapid progress in deep learning-based computer vision has opened unprecedented
possibilities in computing various high-level analytics for sports. Artificial intelligence …

The use of drones in search and rescue operations has become standard almost
everywhere in the world. A special challenge in the search and rescue operation is the …

Action recognition in sports, especially in handball, is a challenging task due to a lot of
players being on the sports field performing different actions simultaneously. Training or …

Self-powered piezoelectric sensor can achieve real-time and harmless monitoring of motion
processes without external power supply, which can be attached on body skin or joints to …