The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Sustained attention is an important cognitive function for living organisms. This function allows them to stay focused on a task with a stable performance. This is the main reason that makes this function required by virtual creatures with realistic behaviours. This document presents a bio-inspired cognitive model for sustained attention which takes into account its impairment and performance enhancement...
In nature, it is an important task for animals to detect small targets which move within cluttered background. In recent years, biologists have found that a class of neurons in the lobula complex, called STMDs (small target motion detectors) which have extreme selectivity for small targets moving within visual clutter. At the same time, some researchers assert that lateral inhibition plays an important...
In robotic navigation, biologically inspired localization models have often exhibited interesting features and proven to be competitive with other solutions in terms of adaptability and performance. In general, place recognition systems rely on global or local visual descriptors; or both. In this paper, we propose a model of context-based place cells combining these two information. Global visual...
The problem of extracting high level information from digital images and videos is frequently faced in the area of computer vision and machine learning. For the recognition of traffic signs, a lot of outstanding methods have been proposed, and deep models demonstrates that their powerful representation capacity, can archieve dominant performances. In this paper a method for recognizing traffic signs...
Nowadays the electricity demand in non-interconnected areas of Colombia (ZNI in Spanish) is high and usually scattered throughout the Colombian territory, in this way its connection to the national distribution grid is infeasible, because of its remoteness and difficult access. To ensure the energy supply in the ZNI diesel generators are used, however the generation with diesel is expensive, and creates...
The quality of living spaces has long been a key issue in design focused on user needs. To correctly define the environmental quality of indoor spaces, many aspects must be considered, which necessarily involves transverse knowledge. An important role in the quality of spaces is the correct use of natural light to ensure good lighting and user comfort. This is even truer within historical buildings...
This paper proposes a novel model, called Similarity Based on Visual Attention Features (SimVisual), to enhance the similarity analysis between images by considering features extracted from salient regions mapped by visual attention models. Visual attention models have demonstrated to be very useful for encoding perceptual semantic information of the image content. Thus, aggregating saliency features...
Agent-Based Models (ABMs) denote a class of models which, by simulating the behavior of multiple agents (i.e., independent actions, interactions and adaptation), aim to emulate and/or predict complex phenomena. One of the general features of ABM simulations is their experimental capacity, that requires a viable and reliable infrastructure to interact with a running simulation, monitoring its behaviour,...
Univariate models of the Natural Scene Statistics (NSS) of perceived digital pictures have been deployed in a wide variety of image and video processing applications. However, much less effort has been made towards understanding, modeling, and using bivariate image NSS. Towards filling this gap, Su et al. developed a closed form correlation model of oriented bandpass natural images applicable to adjacent...
Our work focuses on robots to be deployed in human environments. These robots, which will need specialized object manipulation skills, should leverage end-users to efficiently learn the affordances of objects in their environment. This approach is promising because people naturally focus on showing salient aspects of the objects [1]. We replicate prior results and build on them to create a combination...
Our behaviour emerges as the result of many systems interacting at different scales, from low level biology to high level social interaction. Is it possible to create naturalistic explanatory models which can integrate these factors? We describe the general approach and design of a framework to create autonomous expressive embodied models of behaviour based on affective and cognitive neuroscience...
A macroscopic chaotic model for visual perceptual dynamics is presented which is based on coupling of chaotic maps. The proposed model uses the theories of nonlinear dynamical systems and chaos, in order to illustrate some phenomenological aspects of dynamics observed in the brain. We especially concentrate on these dynamics during visual perception, such as multistability and transitions between...
In this paper we apply 3D printing and genetic algorithm-generated anticipatory system dynamics models to a homeland security challenge, namely understanding the interface between transnational organized criminal networks and local gangs. We apply 3D printing to visualize the complex criminal networks involved. This allows better communication of the network structures and clearer understanding of...
In the context of autonomous navigation, vision has demonstrated its potential in replacing bulkier sensors and achieving multi-tasking, operating as the primary sensor for guidance as well as simultaneously fulfilling other dedicated missions. Vision sensors are of particular interest in aerial navigation where their versatility and light weight simplify the avionics and increase the available payload...
ABGP is a special cognitive model, which consists of awareness, beliefs, goals and plans. As most agent architectures, ABGP agents obtain knowledge from the natural scenes only through single preestablished rules as well, don't directly capture the natural scenes information like human visual. Inspired by the biological visual cortex (V1) and the higher brain areas perceiving visual features, we propose...
Recommendation systems (RS) are important applications to help consumers to find interesting products in large databases available on line. A wide range of RS can be easily found such as Netflix and Amazon. In this paper, we propose a novel content-based approach for clothing recommendation, termed CRESA, which combines textual attributes, visual features and human visual attention to compose the...
The visualization of data streams plays ail important role in diagnosing anomalies in the human body, particularly in Intensive Care Units (ICU). We propose an unconventional paradigm in computer science called Empirical Modelling that IS suitable for the combined visualization and exploration of biomedical data streams. Empirical Modelling for Dynamic Visualization (EMDV) provides a learning space...
A cross-platform three-dimensional (3D) system, Acu3D, was developed to visualize human meridians and acupoints. Firstly, a 3D model of human body with meridians and acupoints was built as the basic data for Acu3D. The existing relevant standards and clinical knowledge were collected and organized to construct a knowledge-base which was integrated into the system. Then, Acu3D was realized leveraged...
In the report the characteristics of visual representation of calculation results of energy flux density for radiating mobile system aerials placed on rooftops of inhabited building within the city obtained with laboratory research on electromagnetic ecology for 11.03.02 field of study are considered. It is shown that an implementation of forecast calculation method based on strict electrodynamical...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.