1,720,994 research outputs found
Van Multikanaals Visie Naar Actieve Exploratie
No full textThis thesis is a collection of three studies investigating the multi-channel processing of visual information in biologically-inspired computer vision systems. These three studies are interconnected and supported by an auxiliary work on object recognition.The first study (Chapter 2) is focused on a biologically-inspired multichannel vision approach to independent motion detection (IMD). The goal is to detect objects that move independently from the moving observer. For example, a video camera mounted in a car "sees" a constantly moving environment while the car is driving. In this case, the motion (perceived by the camera) is caused by the self-motion of the car and the independent motion of other objects (e.g., vehicles or pedestrians). The task then is to differentiate the independently moving object (IMOs) from the motion induced by the moving observer in the (static with respect to Earth) environment. In this chapter we propose an approach for IMD, which uses several channels extracted from the input visual stream to create a so-called independent motion (IM) map, which is a map where the intensity of each pixel encodes the likelihood of the pixel being a part of an IMO. Several extensions of the proposed IMD model are presented and described in this study. All these extended models involve an additional appearance-based object recognition channel, which is used to upgrade the representation of the detected independent motion from the pixel-based formto the object-based (set of IMO locations and descriptions) one.In the second study (Chapter 4) we move from the passive exploration of the surrounding world, addressed in the previous study, towards an active exploration. By the active exploration here we mean the ability of the system to move (or, more precisely, rotate) both cameras of the considered stereo setup. As a first step towards a complete active exploration scenario, we considered its simplified case of horizontal vergence control (VC). The goal of the latter is to verge both cameras on the target object. By vergence here we mean the horizontal (pan) rotation of both cameras in opposite directions, which brings the fixation point (intersection of the cameras' optical axes) onto the surface of the target object. The considered here vergence requires only horizontal rotation of both cameras, which can be easily modeled on the given (pan-tilt) robotic head by a symmetric pan-rotation of both cameras in opposite directions, while keeping the common tilt angle fixed. In Chapter 4 we propose and evaluate two neural models for vergence control. Both models use input stereo images to estimate the desired vergence angle (the angle between cameras' optical axes). The first model assumes that the gaze direction of the robotic head is orthogonal to the baseline and that the stimulus is a frontoparallel plane orthogonal to the gaze direction. The second model goes beyond these assumptions and operates reliably in the general case where all restrictions on the orientation of the gaze, as well as the target position, type and orientation, are dropped.In the third study (Chapter 5) we go to the next level of active exploration hierarchy by considering vergence and version eye movements. By the version eye movement we consider the rotational movements of both eyes in the same direction. In this chapter, we propose a novel model, called vergence-version control with attention effects (VVCA), where object recognition is used as a channel for controlling version/vergence eye movements in a biologically-plausible way. Besides purely theoretical (simulated) results, the proposed VVCA model has a real-world embodiment in the form of a robotic setup, working under real-time control of VVCA model, which was adapted specifically for this case (real-time performance).We have also extensively worked on object recognition, the results of which have been employed in all of the studies mentioned. For appearance-based object recognition (used in IMD and VC studies) we involve the well-known recognition paradigm - the convolutional neural network (CNN). In Chapter 3 we present and describe an extended version of CNN, called myCNN, which can be regarded as a fusion of a conventional CNN with hierarchical cortex-like mechanisms.status: Publishe
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Biologically-inspired model of vision-based independently moving objects detection system
No full textVision-based independent motion detection systems have attracted a lot of attention lately. Such sort of system could be used in on-board automotive assistance system to help driver prevent possible collisions with other independently moving objects (IMOs). In this paper we present a biologically inspired model of IMOs detection system. The proposed model, according to a widely accepted in neuroscience hypothesis, consists of two information-processing streams: "what" (crucial for objects recognition) and "where" (responsible for independent motion discrimination).status: Publishe
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
