| Records |
| Author |
Muhammad Anwer Rao; David Vazquez; Antonio Lopez |
| Title |
Opponent Colors for Human Detection |
Type |
Conference Article |
| Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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| Volume |
6669 |
Issue |
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Pages |
363-370 |
| Keywords |
Pedestrian Detection; Color; Part Based Models |
| Abstract |
Human detection is a key component in fields such as advanced driving assistance and video surveillance. However, even detecting non-occluded standing humans remains a challenge of intensive research. Finding good features to build human models for further detection is probably one of the most important issues to face. Currently, shape, texture and motion features have deserve extensive attention in the literature. However, color-based features, which are important in other domains (e.g., image categorization), have received much less attention. In fact, the use of RGB color space has become a kind of choice by default. The focus has been put in developing first and second order features on top of RGB space (e.g., HOG and co-occurrence matrices, resp.). In this paper we evaluate the opponent colors (OPP) space as a biologically inspired alternative for human detection. In particular, by feeding OPP space in the baseline framework of Dalal et al. for human detection (based on RGB, HOG and linear SVM), we will obtain better detection performance than by using RGB space. This is a relevant result since, up to the best of our knowledge, OPP space has not been previously used for human detection. This suggests that in the future it could be worth to compute co-occurrence matrices, self-similarity features, etc., also on top of OPP space, i.e., as we have done with HOG in this paper. |
| Address |
Las Palmas de Gran Canaria. Spain |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
Berlin Heidelberg |
Editor |
J. Vitria; J.M. Sanches; M. Hernandez |
| Language |
English |
Summary Language |
English |
Original Title |
Opponent Colors for Human Detection |
| Series Editor |
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Series Title  |
Lecture Notes on Computer Science |
Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-21256-7 |
Medium |
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| Area |
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Expedition |
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Conference |
IbPRIA |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ RVL2011a |
Serial |
1666 |
| Permanent link to this record |
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| Author |
Josep Llados; Gemma Sanchez; Enric Marti |
| Title |
A string based method to recognize symbols and structural textures in architectural plans |
Type |
Book Chapter |
| Year |
1998 |
Publication |
Graphics Recognition Algorithms and Systems Second International Workshop, GREC' 97 Nancy, France, August 22–23, 1997 Selected Papers |
Abbreviated Journal |
LNCS |
| Volume |
1389 |
Issue |
1998 |
Pages |
91-103 |
| Keywords |
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| Abstract |
This paper deals with the recognition of symbols and structural textures in architectural plans using string matching techniques. A plan is represented by an attributed graph whose nodes represent characteristic points and whose edges represent segments. Symbols and textures can be seen as a set of regions, i.e. closed loops in the graph, with a particular arrangement. The search for a symbol involves a graph matching between the regions of a model graph and the regions of the graph representing the document. Discriminating a texture means a clustering of neighbouring regions of this graph. Both procedures involve a similarity measure between graph regions. A string codification is used to represent the sequence of outlining edges of a region. Thus, the similarity between two regions is defined in terms of the string edit distance between their boundary strings. The use of string matching allows the recognition method to work also under presence of distortion. |
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Thesis |
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| Publisher |
Springer Link |
Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
LNCS |
Abbreviated Series Title |
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Edition |
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ISBN |
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Medium |
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Conference |
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| Notes |
DAG; IAM |
Approved |
no |
| Call Number |
IAM @ iam @ SLE1998 |
Serial |
1573 |
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| Author |
V. Valev; Petia Radeva |
| Title |
Determining Structural Description by Boolean Formulas. |
Type |
Book Chapter |
| Year |
1992 |
Publication |
Advances in Structural and Syntactic Pattern Recognition |
Abbreviated Journal |
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| Volume |
5 |
Issue |
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Pages |
131–140 |
| Keywords |
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| Abstract |
Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.
This book gives an overview of the latest developments and achievements in the field. |
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Thesis |
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| Publisher |
World Scientific |
Place of Publication |
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Editor |
H. Bunke |
| Language |
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Summary Language |
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Original Title |
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Series Title |
Machine Perception and Artificial Intelligence: |
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Series Issue |
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Edition |
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ISBN |
978-981-279-791-9 |
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Conference |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VaR1992c |
Serial |
254 |
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| Author |
Enric Marti; Debora Gil; Marc Vivet; Carme Julia |
| Title |
Uso de recursos virtuales en Aprendizaje Basado en Proyectos. Una experiencia en la asignatura de Gráficos por Computador |
Type |
Miscellaneous |
| Year |
2009 |
Publication |
15th Jornadas de Enseñanza Universitaria de la Informatica |
Abbreviated Journal |
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Issue |
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Pages |
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Thesis |
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Place of Publication |
Lleida |
Editor |
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Original Title |
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Series Title |
Octava Jornada sobre Aprendizaje Cooperativo |
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Edition |
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Conference |
JENUI |
| Notes |
IAM;ADAS |
Approved |
no |
| Call Number |
IAM @ iam @ MRG2009b |
Serial |
1597 |
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| Author |
Jordi Roca; C. Alejandro Parraga; Maria Vanrell |
| Title |
Categorical Focal Colours are Structurally Invariant Under Illuminant Changes |
Type |
Conference Article |
| Year |
2011 |
Publication |
European Conference on Visual Perception |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
196 |
| Keywords |
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| Abstract |
The visual system perceives the colour of surfaces approximately constant under changes of illumination. In this work, we investigate how stable is the perception of categorical \“focal\” colours and their interrelations with varying illuminants and simple chromatic backgrounds. It has been proposed that best examples of colour categories across languages cluster in small regions of the colour space and are restricted to a set of 11 basic terms (Kay and Regier, 2003 Proceedings of the National Academy of Sciences of the USA 100 9085\–9089). Following this, we developed a psychophysical paradigm that exploits the ability of subjects to reliably reproduce the most representative examples of each category, adjusting multiple test patches embedded in a coloured Mondrian. The experiment was run on a CRT monitor (inside a dark room) under various simulated illuminants. We modelled the recorded data for each subject and adapted state as a 3D interconnected structure (graph) in Lab space. The graph nodes were the subject\’s focal colours at each adaptation state. The model allowed us to get a better distance measure between focal structures under different illuminants. We found that perceptual focal structures tend to be preserved better than the structures of the physical \“ideal\” colours under illuminant changes. |
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Series Title |
Perception 40 |
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Edition |
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Conference |
ECVP |
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ RPV2011 |
Serial |
1867 |
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| Author |
Lluis Gomez; Anguelos Nicolaou; Marçal Rusiñol; Dimosthenis Karatzas |
| Title |
12 years of ICDAR Robust Reading Competitions: The evolution of reading systems for unconstrained text understanding |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
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| Address |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
K. Alahari; C.V. Jawahar |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
Series on Advances in Computer Vision and Pattern Recognition |
Abbreviated Series Title |
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Series Issue |
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Edition |
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Conference |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
GNR2020 |
Serial |
3494 |
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| Author |
Lluis Gomez; Dena Bazazian; Dimosthenis Karatzas |
| Title |
Historical review of scene text detection research |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
Abbreviated Journal |
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Pages |
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| Publisher |
Springer |
Place of Publication |
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Editor |
K. Alahari; C.V. Jawahar |
| Language |
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Summary Language |
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Original Title |
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Series Title |
Series on Advances in Computer Vision and Pattern Recognition |
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Edition |
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Conference |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ GBK2020 |
Serial |
3495 |
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| Author |
Jon Almazan; Lluis Gomez; Suman Ghosh; Ernest Valveny; Dimosthenis Karatzas |
| Title |
WATTS: A common representation of word images and strings using embedded attributes for text recognition and retrieval |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
Abbreviated Journal |
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Pages |
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| Address |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
Analysis”, K. Alahari; C.V. Jawahar |
| Language |
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Summary Language |
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Original Title |
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Series Title |
Series on Advances in Computer Vision and Pattern Recognition |
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Conference |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ AGG2020 |
Serial |
3496 |
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