Automatic handgun detection alarm in videos using deep learning. - Roberto Olmos; Siham Tabik; Francisco Herrera (Neurocomputing, 2018)

Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. - Alberto Castillo 001; Siham Tabik; Francisco Pérez 002; Roberto Olmos; Francisco Herrera (Neurocomputing, 2019)

A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. - Roberto Olmos; Siham Tabik; Alberto Castillo Lamas; Francisco Pérez-Hernández; Francisco Herrera (Inf. Fusion, 2019)

Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance. - Francisco Pérez-Hernández; Siham Tabik; Alberto Castillo Lamas; Roberto Olmos; Hamido Fujita; Francisco Herrera (Knowl. Based Syst., 2020)

MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance. - Roberto Olmos; Siham Tabik; Francisco Pérez-Hernández; Alberto Lamas 001; Francisco Herrera (CoRR, 2021)

Human pose estimation for mitigating false negatives in weapon detection in video-surveillance. - Alberto Lamas 001; Siham Tabik; Antonio Cano Montes; Francisco Pérez-Hernández; Jorge García-Torres Fernández; Roberto Olmos; Francisco Herrera (Neurocomputing, 2022)