A survey on video-based human action recognition: recent updates, datasets, challenges, and applications

P Pareek, A Thakkar - Artificial Intelligence Review, 2021 - Springer
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

Techniques and applications for soccer video analysis: A survey

C Cuevas, D Quilón, N García - Multimedia Tools and Applications, 2020 - Springer
Nowadays, soccer is the most popular sport in our society, followed by millions of people.
Consequently, many video analysis applications have been developed in the last years to …

A Lightweight Model for Traffic Sign Classification Based on Enhanced LeNet‐5 Network

A Zaibi, A Ladgham, A Sakly - Journal of Sensors, 2021 - Wiley Online Library
For several years, much research has focused on the importance of traffic sign recognition
systems, which have played a very important role in road safety. Researchers have …

Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks

M Saeedimoghaddam, TF Stepinski - International Journal of …, 2020 - Taylor & Francis
Road intersection data have been used across a range of geospatial analyses. However,
many datasets dating from before the advent of GIS are only available as historical printed …

Contrastive learning for sports video: Unsupervised player classification

M Koshkina, H Pidaparthy… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
We address the problem of unsupervised classification of players in a team sport according
to their team affiliation, when jersey colours and design are not known a priori. We adopt a …

[HTML][HTML] Automated object detection on aerial images for limited capacity embedded device using a lightweight CNN model

MH Junos, ASM Khairuddin, M Dahari - Alexandria Engineering Journal, 2022 - Elsevier
With the growing demand for geospatial data, challenging aerial images with high spatial,
spectral, and temporal resolution achieve excellent development. Currently, deep …

Extraction of positional player data from broadcast soccer videos

J Theiner, W Gritz, E Müller-Budack… - Proceedings of the …, 2022 - openaccess.thecvf.com
Computer-aided support and analysis are becoming increasingly important in the modern
world of sports. The scouting of potential prospective players, performance as well as match …

Computer vision-based survey on human activity recognition system, challenges and applications

A Manaf, S Singh - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
For surveillance purpose, lots of method were used by the researchers but computer vision
based Human Activity Recognition (HAR) technologies/systems received the most interest …

Deepsportlab: a unified framework for ball detection, player instance segmentation and pose estimation in team sports scenes

SA Ghasemzadeh, G Van Zandycke, M Istasse… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper presents a unified framework to (i) locate the ball,(ii) predict the pose, and (iii)
segment the instance mask of players in team sports scenes. Those problems are of high …

Image dataset creation and networks improvement method based on CAD model and edge operator for object detection in the manufacturing industry

P Tang, Y Guo, H Li, Z Wei, G Zheng, J Pu - Machine Vision and …, 2021 - Springer
Creating image dataset for object detection is a time-consuming and laborious work,
seriously hindering the rapid application of object detection in the industrial manufacturing …