Automatic Selection of Machine Learning Models for Armed People Identification
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 …
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 …
hazard level, utilizing deep learning models for foliage segmentation can significantly …
Space-Time Attention Model-based Anomalous Event Classification for Smart City Applications
Anomalous event classification automatically identifies anomalous events using the videos
in an intelligent video surveillance system. However, anomalous event classification is …
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
LA Saleem, G Mamidisetti - jowua.com
Violent incidents in public and private spaces are a growing concern, necessitating more
efficient and reliable surveillance systems. Conventional systems, which rely on manual …
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 …