Automatic Handgun Detection Alarm in Videos Using Deep Learning R Olmos, S Tabik, F Herrera Neurocomputing, 2017 | 302 | 2017 |
Object detection binary classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance F Pérez-Hernández, S Tabik, A Lamas, R Olmos, H Fujita, F Herrera Knowledge-Based Systems 194, 105590, 2020 | 189 | 2020 |
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning A Castillo, S Tabik, F Pérez, R Olmos, F Herrera Neurocomputing 330, 151-161, 2019 | 124 | 2019 |
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning R Olmos, S Tabik, A Lamas, F Perez-Hernandez, F Herrera Information Fusion 49, 271-280, 2019 | 58 | 2019 |
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance A Lamas, S Tabik, AC Montes, F Pérez-Hernández, J García, R Olmos, ... Neurocomputing, 2022 | 57 | 2022 |
MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance R Olmos, S Tabik, F Perez-Hernandez, A Lamas, F Herrera arXiv preprint arXiv:2104.11653, 2021 | 9 | 2021 |
Stochastic Filtrate of Essential Workers to Reactivate the World Economy Safely E Manjarrez, R Olmos, L Cedillo, HA Salazar-Ibarguen Frontiers in Physics 8, 371, 2020 | | 2020 |