Video authentication detection using deep learning: a systematic literature review

AAM Alrawahneh, SNAS Abdullah, SNHS Abdullah… - Applied …, 2025 - Springer
Recent advancements in deep learning have notably influenced research across various
data types, with a significant focus on video authentication. This area has emerged as a …

An image classification algorithm for football players' activities using deep neural network

X Li, R Ullah - Soft Computing, 2023 - Springer
Football (soccer) stands as the world's most popular sport, enthralling millions of fans
globally. Within the dynamic sphere of modern football, gaining comprehensive insights into …

Development and validation of an observational game analysis tool with artificial intelligence for handball: handball. ai

M Marquina, D Lozano, C García-Sánchez… - Sensors, 2023 - mdpi.com
Performance analysis based on artificial intelligence together with game-related statistical
models aims to provide relevant information before, during and after a competition. Due to …

A Deep Learning Approach to Badminton Player Footwork Detection Based on YOLO Models: A Comparative Study

K Jannet, MS Sunar, MMI Molla… - 2024 IEEE 8th …, 2024 - ieeexplore.ieee.org
Badminton is a dynamic sport which requires rapid decision making and precise movements
so the analysis of “Forehand front corner, Backhand front corner, Forehand side, Backhand …

FineTea: A Novel Fine-Grained Action Recognition Video Dataset for Tea Ceremony Actions

C Ouyang, Y Yi, H Wang, J Zhou, T Tian - Journal of Imaging, 2024 - pmc.ncbi.nlm.nih.gov
Methods based on deep learning have achieved great success in the field of video action
recognition. When these methods are applied to real-world scenarios that require fine …

Feature Extraction and Personalized Sports Training for Athletes Using Variational Autoencoder (VAE)

N Wen, D Diliya - Proceedings of the 2024 International Conference on …, 2024 - dl.acm.org
Traditional methods often design training plans based on universal models or averaged
data, which cannot fully consider the individual differences and needs of each athlete. This …

An Artificial Intelligence Improved Golf Self-Training System using Deep Learning

D Roopa, R Prabha, S Sridevi… - … Computing and Control …, 2023 - ieeexplore.ieee.org
Golf is a sport that requires skill, precision, and mental fortitude. To finish a round of golf with
the least number of strokes possible, it is optimal to strike the ball consistently in the direction …

Optimization Method of Basketball Match Evaluation Based on Computer Vision and Image Processing

Z **e, G Wu - Informatica, 2024 - informatica.si
The accuracy and stability of real-time target detection in computer vision during basketball
games has always been a challenge. In light of this, the study examines the shortcomings of …

Optimized Method for Basketball Game Judging by Integrating Faster-RCNN with LK Algorithm

Z **e, G Wu - Informatica, 2024 - search.proquest.com
The accuracy and stability of real-time target detection in computer vision during basketball
games has always been a challenge. Against this background, this study first examines the …

Exploring Dynamic Scenes: 3D CNN-Based Activity Recognition

S Sharma, M Anjum - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
The necessity of precisely extracting 3D models from freehand sketches is discussed in this
study, especially in light of the expanding number of these models that are available online …