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| Author | Lluis Gomez | ||||
| Title | Perceptual Organization for Text Extraction in Natural Scenes | Type | Report | ||
| Year | 2012 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 173 | Issue | Pages | ||
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Address  |
Bellaterra | ||||
| Corporate Author | Thesis | Master's thesis | |||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ Gom2012 | Serial | 2309 | ||
| Permanent link to this record | |||||
| Author | Onur Ferhat | ||||
| Title | Eye-Tracking with Webcam-Based Setups: Implementation of a Real-Time System and an Analysis of Factors Affecting Performance | Type | Report | ||
| Year | 2012 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 172 | Issue | Pages | ||
| Keywords | Computer vision, eye-tracking, gaussian process, feature selection, optical flow | ||||
| Abstract | In the recent years commercial eye-tracking hardware has become more common, with the introduction of new models from several brands that have better performance and easier setup procedures. A cause and at the same time a result of this phenomenon is the popularity of eye-tracking research directed at marketing, accessibility and usability, among others.
One problem with these hardware components is scalability, because both the price and the necessary expertise to operate them makes it practically impossible in the large scale. In this work, we analyze the feasibility of a software eye-tracking system based on a single, ordinary webcam. Our aim is to discover the limits of such a system and to see whether it provides acceptable performances. The significance of this setup is that it is the most common setup found in consumer environments, off-the-shelf electronic devices such as laptops, mobile phones and tablet computers. As no special equipment such as infrared lights, mirrors or zoom lenses are used; setting up and calibrating the system is easier compared to other approaches using these components. Our work is based on the open source application Opengazer, which provides a good starting point for our contributions. We propose several improvements in order to push the system's performance further and make it feasible as a robust, real-time device. Then we carry out an elaborate experiment involving 18 human subjects and 4 different system setups. Finally, we give an analysis of the results and discuss the effects of setup changes, subject differences and modifications in the software. |
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| Address |
Bellaterra | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | Editor | Fernando Vilariño | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | MV | Approved | no | ||
| Call Number | Admin @ si @ Fer2012; IAM @ iam @ Fer2012 | Serial | 2165 | ||
| Permanent link to this record | |||||
| Author | Naveen Onkarappa | ||||
| Title | Optical Flow in Driver Assistance Systems | Type | Book Whole | ||
| Year | 2013 | Publication | PhD Thesis, Universitat Autonoma de Barcelona-CVC | Abbreviated Journal | |
| Volume | Issue | Pages | |||
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| Abstract | Motion perception is one of the most important attributes of the human brain. Visual motion perception consists in inferring speed and direction of elements in a scene based on visual inputs. Analogously, computer vision is assisted by motion cues in the scene. Motion detection in computer vision is useful in solving problems such as segmentation, depth from motion, structure from motion, compression, navigation and many others. These problems are common in several applications, for instance, video surveillance, robot navigation and advanced driver assistance systems (ADAS). One of the most widely used techniques for motion detection is the optical flow estimation. The work in this thesis attempts to make optical flow suitable for the requirements and conditions of driving scenarios. In this context, a novel space-variant representation called reverse log-polar representation is proposed that is shown to be better than the traditional log-polar space-variant representation for ADAS. The space-variant representations reduce the amount of data to be processed. Another major contribution in this research is related to the analysis of the influence of specific characteristics from driving scenarios on the optical flow accuracy. Characteristics such as vehicle speed and
road texture are considered in the aforementioned analysis. From this study, it is inferred that the regularization weight has to be adapted according to the required error measure and for different speeds and road textures. It is also shown that polar represented optical flow suits driving scenarios where predominant motion is translation. Due to the requirements of such a study and by the lack of needed datasets a new synthetic dataset is presented; it contains: i) sequences of different speeds and road textures in an urban scenario; ii) sequences with complex motion of an on-board camera; and iii) sequences with additional moving vehicles in the scene. The ground-truth optical flow is generated by the ray-tracing technique. Further, few applications of optical flow in ADAS are shown. Firstly, a robust RANSAC based technique to estimate horizon line is proposed. Then, an egomotion estimation is presented to compare the proposed space-variant representation with the classical one. As a final contribution, a modification in the regularization term is proposed that notably improves the results in the ADAS applications. This adaptation is evaluated using a state of the art optical flow technique. The experiments on a public dataset (KITTI) validate the advantages of using the proposed modification. |
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| Address |
Bellaterra | ||||
| Corporate Author | Thesis | Ph.D. thesis | |||
| Publisher | Ediciones Graficas Rey | Place of Publication | Editor | Angel Sappa | |
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-84-940902-1-9 | Medium | ||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ Nav2013 | Serial | 2447 | ||
| Permanent link to this record | |||||
| Author | Joan M. Nuñez | ||||
| Title | Computer vision techniques for characterization of finger joints in X-ray image | Type | Report | ||
| Year | 2011 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 165 | Issue | Pages | ||
| Keywords | Rheumatoid arthritis, X-ray, Sharp Van der Heijde, joint characterization, sclerosis detection, bone detection, edge, ridge | ||||
| Abstract | Rheumatoid arthritis (RA) is an autoimmune inflammatory type of arthritis which mainly affects hands on its first stages. Though it is a chronic disease and there is no cure for it, treatments require an accurate assessment of illness evolution. Such assessment is based on evaluation of hand X-ray images by using one of the several available semi-quantitative methods. This task requires highly trained medical personnel. That is why the automation of the assessment would allow professionals to save time and effort. Two stages are involved in this task. Firstly, the joint detection, afterwards, the joint characterization. Unlike the little existing previous work, this contribution clearly separates those two stages and sets the foundations of a modular assessment system focusing on the characterization stage. A hand joint dataset is created and an accurate data analysis is achieved in order to identify relevant features. Since the sclerosis and the lower bone were decided to be the most important features, different computer vision techniques were used in order to develop a detector system for both of them. Joint space width measures are provided and their correlation with Sharp-Van der Heijde is verified | ||||
| Address |
Bellaterra (Barcelona) | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | Editor | Dr. Fernando Vilariño and Dra. Debora Gil | ||
| Language | Summary Language | Original Title | |||
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| Notes | MV;IAM; | Approved | no | ||
| Call Number | IAM @ iam @ Nuñ2011 | Serial | 1795 | ||
| Permanent link to this record | |||||
| Author | Monica Piñol | ||||
| Title | Adaptative Vocabulary Tree for Image Classification using Reinforcement Learning | Type | Report | ||
| Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 162 | Issue | Pages | ||
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| Address |
Bellaterra (Barcelona) | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ Piñ2010 | Serial | 1936 | ||
| Permanent link to this record | |||||
| Author | Petia Radeva; Enric Marti | ||||
| Title | Facial Features Segmentation by Model-Based Snakes. | Type | Miscellaneous | ||
| Year | 1995 | Publication | Trobada de Joves Investigadors, IIIA. | Abbreviated Journal | |
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| Address |
Bellaterra (Barcelona), Spain | ||||
| Corporate Author | Thesis | ||||
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| Notes | MILAB; IAM | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ RaM1995a | Serial | 130 | ||
| Permanent link to this record | |||||
| Author | David Geronimo; Antonio Lopez | ||||
| Title | Deteccion de Peatones para Sistemas Avanzados de Asistencia al Conductor | Type | Miscellaneous | ||
| Year | 2010 | Publication | UAB Divulga | Abbreviated Journal | |
| Volume | Issue | Pages | |||
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| Abstract | Los sistemas de asistencia al conductor, y particularmente los sistemas de protección de peatones, representan uno de los campos de investigación más activos dedicados a la mejora de la seguridad vial. El mayor desafío es el desarrollo de sistemas a bordo fiables de detección de peatones. En esta revisión del estado de la técnica de la detección de peatones, se divide el problema en diferentes etapas, cada una con responsabilidades propias dentro del sistema. Esta división facilita el posterior análisis y discusión de cada uno de los métodos en la literatura, favoreciendo la comparación entre ellos. Finalmente se discuten los temas más importantes de este campo poniendo especial énfasis en las necesidades actuales y los desafíos futuros. | ||||
| Address |
Bellaterra (Catalonia), Spain | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
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| Series Editor | Series Title | Abbreviated Series Title | |||
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| Notes | spreading;ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ GeL2010a | Serial | 1414 | ||
| Permanent link to this record | |||||
| Author | Miquel Ferrer; Ernest Valveny; F. Serratosa | ||||
| Title | A New Optimal Algorithm for the Generalized Median Graph Computation Based on the Maximum Common Subgraph | Type | Report | ||
| Year | 2007 | Publication | CVC Technical Report #109 | Abbreviated Journal | |
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| Address |
Bellaterra (Sapin) | ||||
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| Notes | DAG | Approved | no | ||
| Call Number | DAG @ dag @ FVS2007c | Serial | 839 | ||
| Permanent link to this record | |||||
| Author | Joan Serrat; Antonio Lopez | ||||
| Title | Una experiencia de Enginyeria del Software amb ABP | Type | Miscellaneous | ||
| Year | 2006 | Publication | III Jornada de Campus d’Innovacio Docent | Abbreviated Journal | |
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| Address |
Bellaterra (Spain) | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SeL2006 | Serial | 941 | ||
| Permanent link to this record | |||||
| Author | Murad Al Haj | ||||
| Title | Face Detection in Color Images Using Primitive Shape Features | Type | Report | ||
| Year | 2008 | Publication | CVC Technical Report #118 | Abbreviated Journal | |
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| Address |
Bellaterra (Spain) | ||||
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| Notes | ISE | Approved | no | ||
| Call Number | Admin @ si @ AlH2008 | Serial | 945 | ||
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| Author | Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados | ||||
| Title | Performance Evaluation of Symbol Recognition and Spotting Systems: An Overview | Type | Report | ||
| Year | 2008 | Publication | CVC Technical Report #117 | Abbreviated Journal | |
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| Address |
Bellaterra (Spain) | ||||
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| Notes | DAG | Approved | no | ||
| Call Number | DAG @ dag @ DVL2008a | Serial | 946 | ||
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| Author | Paramveer S. Dhillon; Francisco Javier Orozco; Jordi Gonzalez | ||||
| Title | Real-Time Monocular Face Tracking Using and Active Camera | Type | Report | ||
| Year | 2008 | Publication | CVC Technical Report # 119 | Abbreviated Journal | |
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| Address |
Bellaterra (Spain) | ||||
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ DOG2008 | Serial | 1006 | ||
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| Author | Eduard Vazquez; Maria Vanrell | ||||
| Title | Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial | Type | Miscellaneous | ||
| Year | 2008 | Publication | V Jornades d’Innovacio Docent (UAB) | Abbreviated Journal | |
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| Address |
Bellaterra (Spain) | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ VaV2008 | Serial | 1011 | ||
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| Author | Agata Lapedriza; Jaume Garcia; Ernest Valveny; Robert Benavente; Miquel Ferrer; Gemma Sanchez | ||||
| Title | Una experiencia de aprenentatge basada en projectes en el ambit de la informatica | Type | Miscellaneous | ||
| Year | 2008 | Publication | V Jornades d’Innovacio Docent (UAB) | Abbreviated Journal | |
| Volume | Issue | Pages | 63 | ||
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| Address |
Bellaterra (Spain) | ||||
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| Notes | OR; IAM; DAG; CIC; MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ LGV2008 | Serial | 1030 | ||
| Permanent link to this record | |||||
| Author | Francesco Ciompi | ||||
| Title | ECOC-based Plaque Classification using In-vivo and Exvivo Intravascular Ultrasound Data | Type | Miscellaneous | ||
| Year | 2008 | Publication | CVC Technical Report #125 | Abbreviated Journal | |
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| Address |
Bellaterra (Spain) | ||||
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ Cio2008 | Serial | 1145 | ||
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