Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras

J Benito-Picazo, E Dominguez… - Integrated …, 2020 - content.iospress.com
The design of automated video surveillance systems often involves the detection of agents
which exhibit anomalous or dangerous behavior in the scene under analysis. Models aimed …

Adaptive bootstrapping management by keypoint clustering for background initialization

D Avola, M Bernardi, L Cinque, GL Foresti… - Pattern Recognition …, 2017 - Elsevier
The availability of a background model that describes the scene is a prerequisite for many
computer vision applications. In several situations, the model cannot be easily generated …

Motion and appearance based background subtraction for freely moving cameras

H Sajid, SCS Cheung, N Jacobs - Signal Processing: Image …, 2019 - Elsevier
With increasing popularity of smart phone cameras and wearable cameras, it is imperative to
develop robust vision systems in analyzing videos captured by these freely moving cameras …

Motion detection with low cost hardware for PTZ cameras

J Benito-Picazo, E Dominguez… - Integrated …, 2019 - content.iospress.com
Abstract Pan-tilt-zoom (PTZ) cameras are well suited to motion detection and tracking
objects due to their mobility. Motion detection approaches based on background difference …

A new descriptor for keypoint-based background modeling

D Avola, M Bernardi, M Cascio, L Cinque… - Image Analysis and …, 2019 - Springer
Background modeling is a preliminary task for many computer vision applications,
describing static elements of a scene and isolating foreground ones. Defining a robust …

Parallel processing applied to object detection with a jetson tx2 embedded system

J Benito-Picazo, JD Fernández-Rodríguez… - … Conference on Soft …, 2023 - Springer
Video streams from panoramic cameras represent a powerful tool for automated
surveillance systems, but naïve implementations typically require very intensive …

Neural controller for PTZ cameras based on nonpanoramic foreground detection

MA Molina-Cabello, E López-Rubio… - … Joint Conference on …, 2017 - ieeexplore.ieee.org
In this paper a controller for PTZ cameras based on an unsupervised neural network model
is presented. It takes advantage of the foreground mask generated by a non-parametric …

Change detection in moving-camera videos with limited samples using twin-CNN features and learnable morphological operations

R Padilla, AF da Silva, EAB da Silva… - Signal Processing: Image …, 2023 - Elsevier
This paper presents a new system to detect changes between reference and target videos
suitable for small-scale datasets. Twin pre-trained ResNet-50 features are processed using …

Deep learning-based anomalous object detection system powered by microcontroller for ptz cameras

J Benito-Picazo, E Domínguez… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Automatic video surveillance systems are usually designed to detect anomalous objects
being present in a scene or behaving dangerously. In order to perform adequately, they …

Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board

J Benito-Picazo, E Domínguez… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
Social conflicts appearing in the media are increasing public awareness about security
issues, resulting in a higher demand of more exhaustive environment monitoring methods …