681 citations · 772 across the 8 of their papers we have counts for
5 papers · 1 filter
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 Perez-Hernandez +2
Despite the constant advances in computer vision, integrating modern single-image detectors in real-time handgun alarm systems in video-surveillance is still debatable. Using such…
CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study
Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou +2
The detection of critical infrastructures in large territories represented by aerial and satellite images is of high importance in several fields such as in security, anomaly detec…
Deep Learning in Video Multi-Object Tracking: A Survey
Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik +3
The problem of Multiple Object Tracking (MOT) consists in following the trajectory of different objects in a sequence, usually a video. In recent years, with the rise of Deep Learn…
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery
Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura +2
There is a growing demand for accurate high-resolution land cover maps in many fields, e.g., in land-use planning and biodiversity conservation. Developing such maps has been perfo…
Automatic Handgun Detection Alarm in Videos Using Deep Learning
Roberto Olmos, Siham Tabik, Francisco Herrera
Current surveillance and control systems still require human supervision and intervention. This work presents a novel automatic handgun detection system in videos appropriate for b…