Optical flow or image subtraction in human detection from infrared camera on mobile robot
A Fernández-Caballero, JC Castillo… - Robotics and …, 2010 - Elsevier
Perceiving the environment is crucial in any application related to mobile robotics research.
In this paper, a new approach to real-time human detection through processing video …
In this paper, a new approach to real-time human detection through processing video …
Development of intelligent multisensor surveillance systems with agents
Intelligent multisensor surveillance systems consist of several types of sensors, which are
installed on fixed and mobile devices. These components provide a huge quantity of …
installed on fixed and mobile devices. These components provide a huge quantity of …
Infrared small target detection based on spatial-temporal enhancement using quaternion discrete cosine transform
P Zhang, X Wang, X Wang, C Fei, Z Guo - IEEE access, 2019 - ieeexplore.ieee.org
Infrared small target detection plays an important role in the infrared search and track
system. However, infrared small target images often suffer from low contrast. In this paper …
system. However, infrared small target images often suffer from low contrast. In this paper …
Human activity monitoring by local and global finite state machines
A Fernández-Caballero, JC Castillo… - Expert Systems with …, 2012 - Elsevier
There are a number of solutions to automate the monotonous task of looking at a monitor to
find suspicious behaviors in video surveillance scenarios. Detecting strange objects and …
find suspicious behaviors in video surveillance scenarios. Detecting strange objects and …
On the use of agent technology in intelligent, multisensory and distributed surveillance
JM Gascuena, A Fernández-Caballero - The Knowledge …, 2011 - cambridge.org
This article revises the state of the art of the application of agent technology within the scope
of surveillance systems. Thus, the potential of the practical use of the concepts and …
of surveillance systems. Thus, the potential of the practical use of the concepts and …
Video sequence motion tracking by fuzzification techniques
J Moreno-Garcia, L Rodriguez-Benitez… - Applied Soft …, 2010 - Elsevier
In this paper a method for moving objects segmentation and tracking from the so-called
permanency matrix is introduced. Our motion-based algorithms enable to obtain the shapes …
permanency matrix is introduced. Our motion-based algorithms enable to obtain the shapes …
Optical Flow-Based Obstacle Detection for Mid-Air Collision Avoidance
The sky may seem big enough for two flying vehicles to collide, but the facts show that mid-
air collisions still occur occasionally and are a significant concern. Pilots learn manual …
air collisions still occur occasionally and are a significant concern. Pilots learn manual …
Dynamic stereoscopic selective visual attention (DSSVA): Integrating motion and shape with depth in video segmentation
A Fernández-Caballero, MT López… - Expert Systems with …, 2008 - Elsevier
Depth inclusion as an important parameter for dynamic selective visual attention is
presented in this article. The model introduced in this paper is based on two previously …
presented in this article. The model introduced in this paper is based on two previously …
A bottom-up and top-down human visual attention approach for hyperspectral anomaly detection
A Taghipour, H Ghassemian - Journal of Visual Communication and Image …, 2021 - Elsevier
Hyperspectral anomaly detection (HAD) is a branch of target detection which tries to locate
pixels that are spectrally or spatially different from their background. In this paper, a visual …
pixels that are spectrally or spatially different from their background. In this paper, a visual …
A saliency-based bottom-up visual attention model for dynamic scenes analysis
DF Ramirez-Moreno, O Schwartz… - Biological …, 2013 - Springer
This work proposes a model of visual bottom-up attention for dynamic scene analysis. Our
work adds motion saliency calculations to a neural network model with realistic temporal …
work adds motion saliency calculations to a neural network model with realistic temporal …