Automatic Selection of Machine Learning Models for Armed People Identification

AJ Amado-Garfias, SE Conant-Pablos… - IEEE …, 2024 - ieeexplore.ieee.org
This research aims to improve the automatic identification of armed people in surveillance
videos. We focus on people armed with pistols and revolvers. Furthermore, we use the …

A Lightweight Cotton Verticillium Wilt Hazard Level Real-Time Assessment System Based on an Improved YOLOv10n Model.

J Liao, X He, Y Liang, H Wang, H Zeng… - Agriculture; …, 2024 - search.ebscohost.com
Compared to traditional manual methods for assessing the cotton verticillium wilt (CVW)
hazard level, utilizing deep learning models for foliage segmentation can significantly …

Space-Time Attention Model-based Anomalous Event Classification for Smart City Applications

R Nayak, UC Pati, SK Das - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Anomalous event classification automatically identifies anomalous events using the videos
in an intelligent video surveillance system. However, anomalous event classification is …

[PDF][PDF] Violence Detection in Videos Using Low Complex Convolution Neural Network for Surveillance Applications

Violent incidents in public and private spaces are a growing concern, necessitating more
efficient and reliable surveillance systems. Conventional systems, which rely on manual …

[CITATION][C] School of Engineering and Sciences

MS WAJID - 2024 - Instituto Tecnológico y de Estudios …