| Records |
Author  |
Angel Sappa; Boris X. Vintimilla |
| Title |
Edge Point Linking by Means of Global and Local Schemes |
Type |
Book Chapter |
| Year |
2008 |
Publication |
in Signal Processing for Image Enhancement and Multimedia Processing |
Abbreviated Journal |
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| Volume |
11 |
Issue |
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Pages |
115–125 |
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| Publisher |
Springer |
Place of Publication |
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Editor |
E. Damiani |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SaV2008 |
Serial |
938 |
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| Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
| Title |
Stereo Vision Camera Pose Estimation for On-Board Applications |
Type |
Book Chapter |
| Year |
2007 |
Publication |
Scene Reconstruction, Pose Estimation and Traking |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
39-50 |
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| Publisher |
Rustam Stolking |
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ISBN |
978-3-902613-06-6 |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SGD2007 |
Serial |
797 |
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| Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Mohammad Rouhani; Antonio Lopez |
| Title |
Moving object detection from mobile platforms using stereo data registration |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Computational Intelligence paradigms in advanced pattern classification |
Abbreviated Journal |
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| Volume |
386 |
Issue |
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Pages |
25-37 |
| Keywords |
pedestrian detection |
| Abstract |
This chapter describes a robust approach for detecting moving objects from on-board stereo vision systems. It relies on a feature point quaternion-based registration, which avoids common problems that appear when computationally expensive iterative-based algorithms are used on dynamic environments. The proposed approach consists of three main stages. Initially, feature points are extracted and tracked through consecutive 2D frames. Then, a RANSAC based approach is used for registering two point sets, with known correspondences in the 3D space. The computed 3D rigid displacement is used to map two consecutive 3D point clouds into the same coordinate system by means of the quaternion method. Finally, moving objects correspond to those areas with large 3D registration errors. Experimental results show the viability of the proposed approach to detect moving objects like vehicles or pedestrians in different urban scenarios. |
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Springer Berlin Heidelberg |
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Editor |
Marek R. Ogiela; Lakhmi C. Jain |
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Edition |
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| ISSN |
1860-949X |
ISBN |
978-3-642-24048-5 |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ SGD2012 |
Serial |
2061 |
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| Author |
Angel Sappa; Fadi Dornaika |
| Title |
An Edge-Based Approach to Motion Detection |
Type |
Book Chapter |
| Year |
2006 |
Publication |
6th International Conference on Computational Science (ICCS´06), LNCS 3991:563–570 |
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| Address |
Reading (United Kingdom) |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SaD2006 |
Serial |
654 |
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| Author |
Angel Sappa; Niki Aifanti; N. Grammalidis; Sotiris Malassiotis |
| Title |
Advances in Vision-Based Human Body Modeling |
Type |
Book Chapter |
| Year |
2004 |
Publication |
3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body |
Abbreviated Journal |
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Issue |
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Pages |
1-26 |
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Editor |
N. Sarris and M. Strintzis. |
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ISBN |
1-59140-299-9 |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SAG2004a |
Serial |
458 |
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| Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
| Title |
Prior Knowledge Based Motion Model Representation |
Type |
Book Chapter |
| Year |
2009 |
Publication |
Progress in Computer Vision and Image Analysis |
Abbreviated Journal |
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| Volume |
16 |
Issue |
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Pages |
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Editor |
Horst Bunke; JuanJose Villanueva; Gemma Sanchez |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SAM2009 |
Serial |
1235 |
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| Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; N. Grammalidis |
| Title |
Survey of 3D Human Body Representations |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Encyclopedia of Information Science and Technology, 1(5):2696–2701 |
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no |
| Call Number |
ADAS @ adas @ SAM2005a |
Serial |
497 |
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| Author |
Anjan Dutta; Josep Llados; Horst Bunke; Umapada Pal |
| Title |
A Product Graph Based Method for Dual Subgraph Matching Applied to Symbol Spotting |
Type |
Book Chapter |
| Year |
2014 |
Publication |
Graphics Recognition. Current Trends and Challenges |
Abbreviated Journal |
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| Volume |
8746 |
Issue |
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Pages |
7-11 |
| Keywords |
Product graph; Dual edge graph; Subgraph matching; Random walks; Graph kernel |
| Abstract |
Product graph has been shown as a way for matching subgraphs. This paper reports the extension of the product graph methodology for subgraph matching applied to symbol spotting in graphical documents. Here we focus on the two major limitations of the previous version of the algorithm: (1) spurious nodes and edges in the graph representation and (2) inefficient node and edge attributes. To deal with noisy information of vectorized graphical documents, we consider a dual edge graph representation on the original graph representing the graphical information and the product graph is computed between the dual edge graphs of the pattern graph and the target graph. The dual edge graph with redundant edges is helpful for efficient and tolerating encoding of the structural information of the graphical documents. The adjacency matrix of the product graph locates the pair of similar edges of two operand graphs and exponentiating the adjacency matrix finds similar random walks of greater lengths. Nodes joining similar random walks between two graphs are found by combining different weighted exponentials of adjacency matrices. An experimental investigation reveals that the recall obtained by this approach is quite encouraging. |
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Springer Berlin Heidelberg |
Place of Publication |
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Editor |
Bart Lamiroy; Jean-Marc Ogier |
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LNCS |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-662-44853-3 |
Medium |
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Conference |
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| Notes |
DAG; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ DLB2014 |
Serial |
2698 |
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| Author |
Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; Ana Rodriguez |
| Title |
Biometric Recognition Based on Line Shape Descriptors |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Lecture Notes in Computer Science |
Abbreviated Journal |
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| Volume |
3926 |
Issue |
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Pages |
346–357, |
| Keywords |
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| Abstract |
Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques. |
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Springer Link |
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DAG |
Approved |
no |
| Call Number |
DAG @ dag @ CSL2006 |
Serial |
685 |
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| Author |
Antonio Lopez |
| Title |
Pedestrian Detection Systems |
Type |
Book Chapter |
| Year |
2018 |
Publication |
Wiley Encyclopedia of Electrical and Electronics Engineering |
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Issue |
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| Abstract |
Pedestrian detection is a highly relevant topic for both advanced driver assistance systems (ADAS) and autonomous driving. In this entry, we review the ideas behind pedestrian detection systems from the point of view of perception based on computer vision and machine learning. |
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| Notes |
ADAS; 600.118 |
Approved |
no |
| Call Number |
Admin @ si @ Lop2018 |
Serial |
3230 |
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| Author |
Antonio Lopez; David Vazquez; Gabriel Villalonga |
| Title |
Data for Training Models, Domain Adaptation |
Type |
Book Chapter |
| Year |
2018 |
Publication |
Intelligent Vehicles. Enabling Technologies and Future Developments |
Abbreviated Journal |
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Issue |
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Pages |
395–436 |
| Keywords |
Driving simulator; hardware; software; interface; traffic simulation; macroscopic simulation; microscopic simulation; virtual data; training data |
| Abstract |
Simulation can enable several developments in the field of intelligent vehicles. This chapter is divided into three main subsections. The first one deals with driving simulators. The continuous improvement of hardware performance is a well-known fact that is allowing the development of more complex driving simulators. The immersion in the simulation scene is increased by high fidelity feedback to the driver. In the second subsection, traffic simulation is explained as well as how it can be used for intelligent transport systems. Finally, it is rather clear that sensor-based perception and action must be based on data-driven algorithms. Simulation could provide data to train and test algorithms that are afterwards implemented in vehicles. These tools are explained in the third subsection. |
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| Notes |
ADAS; 600.118 |
Approved |
no |
| Call Number |
Admin @ si @ LVV2018 |
Serial |
3047 |
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| Author |
Antonio Lopez; Jiaolong Xu; Jose Luis Gomez; David Vazquez; German Ros |
| Title |
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example |
Type |
Book Chapter |
| Year |
2017 |
Publication |
Domain Adaptation in Computer Vision Applications |
Abbreviated Journal |
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| Volume |
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Issue |
13 |
Pages |
243-258 |
| Keywords |
Domain Adaptation |
| Abstract |
Supervised learning tends to produce more accurate classifiers than unsupervised learning in general. This implies that training data is preferred with annotations. When addressing visual perception challenges, such as localizing certain object classes within an image, the learning of the involved classifiers turns out to be a practical bottleneck. The reason is that, at least, we have to frame object examples with bounding boxes in thousands of images. A priori, the more complex the model is regarding its number of parameters, the more annotated examples are required. This annotation task is performed by human oracles, which ends up in inaccuracies and errors in the annotations (aka ground truth) since the task is inherently very cumbersome and sometimes ambiguous. As an alternative we have pioneered the use of virtual worlds for collecting such annotations automatically and with high precision. However, since the models learned with virtual data must operate in the real world, we still need to perform domain adaptation (DA). In this chapter we revisit the DA of a deformable part-based model (DPM) as an exemplifying case of virtual- to-real-world DA. As a use case, we address the challenge of vehicle detection for driver assistance, using different publicly available virtual-world data. While doing so, we investigate questions such as: how does the domain gap behave due to virtual-vs-real data with respect to dominant object appearance per domain, as well as the role of photo-realism in the virtual world. |
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Springer |
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Editor |
Gabriela Csurka |
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| Notes |
ADAS; 600.085; 601.223; 600.076; 600.118 |
Approved |
no |
| Call Number |
ADAS @ adas @ LXG2017 |
Serial |
2872 |
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| Author |
Antonio Lopez; W. Niessen; Joan Serrat; K. Nikolay; B. Ter Haar Romeny; Juan J. Villanueva; M. Viergerver |
| Title |
New improvements in the multiscale analysis of trabecular bone patterns |
Type |
Book Chapter |
| Year |
2000 |
Publication |
Pattern Recognition and Applications |
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Issue |
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Pages |
251-260 |
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| Publisher |
IOS Press |
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ADAS |
Approved |
no |
| Call Number |
Admin @ si @ |
Serial |
3418 |
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| Author |
Ariel Amato; Ivan Huerta; Mikhail Mozerov; Xavier Roca; Jordi Gonzalez |
| Title |
Moving Cast Shadows Detection Methods for Video Surveillance Applications |
Type |
Book Chapter |
| Year |
2014 |
Publication |
Augmented Vision and Reality |
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| Volume |
6 |
Issue |
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Pages |
23-47 |
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| Abstract |
Moving cast shadows are a major concern in today’s performance from broad range of many vision-based surveillance applications because they highly difficult the object classification task. Several shadow detection methods have been reported in the literature during the last years. They are mainly divided into two domains. One usually works with static images, whereas the second one uses image sequences, namely video content. In spite of the fact that both cases can be analogously analyzed, there is a difference in the application field. The first case, shadow detection methods can be exploited in order to obtain additional geometric and semantic cues about shape and position of its casting object (‘shape from shadows’) as well as the localization of the light source. While in the second one, the main purpose is usually change detection, scene matching or surveillance (usually in a background subtraction context). Shadows can in fact modify in a negative way the shape and color of the target object and therefore affect the performance of scene analysis and interpretation in many applications. This chapter wills mainly reviews shadow detection methods as well as their taxonomies related with the second case, thus aiming at those shadows which are associated with moving objects (moving shadows). |
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Springer Berlin Heidelberg |
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Edition |
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| ISSN |
2190-5916 |
ISBN |
978-3-642-37840-9 |
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| Notes |
ISE; 605.203; 600.049; 302.018; 302.012; 600.078 |
Approved |
no |
| Call Number |
Admin @ si @ AHM2014 |
Serial |
2223 |
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| Author |
Arnau Baro; Pau Riba; Jorge Calvo-Zaragoza; Alicia Fornes |
| Title |
Optical Music Recognition by Long Short-Term Memory Networks |
Type |
Book Chapter |
| Year |
2018 |
Publication |
Graphics Recognition. Current Trends and Evolutions |
Abbreviated Journal |
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| Volume |
11009 |
Issue |
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Pages |
81-95 |
| Keywords |
Optical Music Recognition; Recurrent Neural Network; Long ShortTerm Memory |
| Abstract |
Optical Music Recognition refers to the task of transcribing the image of a music score into a machine-readable format. Many music scores are written in a single staff, and therefore, they could be treated as a sequence. Therefore, this work explores the use of Long Short-Term Memory (LSTM) Recurrent Neural Networks for reading the music score sequentially, where the LSTM helps in keeping the context. For training, we have used a synthetic dataset of more than 40000 images, labeled at primitive level. The experimental results are promising, showing the benefits of our approach. |
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Springer |
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Editor |
A. Fornes, B. Lamiroy |
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LNCS |
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Edition |
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ISBN |
978-3-030-02283-9 |
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Conference |
GREC |
| Notes |
DAG; 600.097; 601.302; 601.330; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ BRC2018 |
Serial |
3227 |
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