Records |
Author |
Sergio Escalera; Xavier Baro; Oriol Pujol; Jordi Vitria; Petia Radeva |
Title |
Traffic-Sign Recognition Systems |
Type |
Book Whole |
Year |
2011 |
Publication |
SpringerBriefs in Computer Science |
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Volume |
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Issue |
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Pages |
5-13 |
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Publisher |
Springer London |
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ISBN |
978-1-4471-2244-9 |
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Notes |
MILAB; OR;HuPBA;MV |
Approved |
no |
Call Number |
Admin @ si @ EBP2011 |
Serial |
1801 |
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Author |
Murad Al Haj; Carles Fernandez; Zhanwu Xiong; Ivan Huerta; Jordi Gonzalez; Xavier Roca |
Title |
Beyond the Static Camera: Issues and Trends in Active Vision |
Type |
Book Chapter |
Year |
2011 |
Publication |
Visual Analysis of Humans: Looking at People |
Abbreviated Journal |
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Volume |
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Issue |
2 |
Pages |
11-30 |
Keywords |
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Abstract |
Maximizing both the area coverage and the resolution per target is highly desirable in many applications of computer vision. However, with a limited number of cameras viewing a scene, the two objectives are contradictory. This chapter is dedicated to active vision systems, trying to achieve a trade-off between these two aims and examining the use of high-level reasoning in such scenarios. The chapter starts by introducing different approaches to active cameras configurations. Later, a single active camera system to track a moving object is developed, offering the reader first-hand understanding of the issues involved. Another section discusses practical considerations in building an active vision platform, taking as an example a multi-camera system developed for a European project. The last section of the chapter reflects upon the future trends of using semantic factors to drive smartly coordinated active systems. |
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Springer London |
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Editor |
Th.B. Moeslund; A. Hilton; V. Krüger; L. Sigal |
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ISBN |
978-0-85729-996-3 |
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ISE |
Approved |
no |
Call Number |
Admin @ si @ AFX2011 |
Serial |
1814 |
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Author |
Nataliya Shapovalova; Carles Fernandez; Xavier Roca; Jordi Gonzalez |
Title |
Semantics of Human Behavior in Image Sequences |
Type |
Book Chapter |
Year |
2011 |
Publication |
Computer Analysis of Human Behavior |
Abbreviated Journal |
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Volume |
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Issue |
7 |
Pages |
151-182 |
Keywords |
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Abstract |
Human behavior is contextualized and understanding the scene of an action is crucial for giving proper semantics to behavior. In this chapter we present a novel approach for scene understanding. The emphasis of this work is on the particular case of Human Event Understanding. We introduce a new taxonomy to organize the different semantic levels of the Human Event Understanding framework proposed. Such a framework particularly contributes to the scene understanding domain by (i) extracting behavioral patterns from the integrative analysis of spatial, temporal, and contextual evidence and (ii) integrative analysis of bottom-up and top-down approaches in Human Event Understanding. We will explore how the information about interactions between humans and their environment influences the performance of activity recognition, and how this can be extrapolated to the temporal domain in order to extract higher inferences from human events observed in sequences of images. |
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Publisher |
Springer London |
Place of Publication |
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Editor |
Albert Ali Salah; |
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978-0-85729-993-2 |
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ISE |
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no |
Call Number |
Admin @ si @ SFR2011 |
Serial |
1810 |
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Author |
Carme Julia; Felipe Lumbreras; Angel Sappa |
Title |
A Factorization-based Approach to Photometric Stereo |
Type |
Journal Article |
Year |
2011 |
Publication |
International Journal of Imaging Systems and Technology |
Abbreviated Journal |
IJIST |
Volume |
21 |
Issue |
1 |
Pages |
115-119 |
Keywords |
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Abstract |
This article presents an adaptation of a factorization technique to tackle the photometric stereo problem. That is to recover the surface normals and reflectance of an object from a set of images obtained under different lighting conditions. The main contribution of the proposed approach is to consider pixels in shadow and saturated regions as missing data, in order to reduce their influence to the result. Concretely, an adapted Alternation technique is used to deal with missing data. Experimental results considering both synthetic and real images show the viability of the proposed factorization-based strategy. © 2011 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 21, 115–119, 2011. |
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ADAS |
Approved |
no |
Call Number |
Admin @ si @ JLS2011; ADAS @ adas @ |
Serial |
1711 |
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Author |
Kaida Xiao; Sophie Wuerger; Chenyang Fu; Dimosthenis Karatzas |
Title |
Unique Hue Data for Colour Appearance Models. Part i: Loci of Unique Hues and Hue Uniformity |
Type |
Journal Article |
Year |
2011 |
Publication |
Color Research & Application |
Abbreviated Journal |
CRA |
Volume |
36 |
Issue |
5 |
Pages |
316-323 |
Keywords |
unique hues; colour appearance models; CIECAM02; hue uniformity |
Abstract |
Psychophysical experiments were conducted to assess unique hues on a CRT display for a large sample of colour-normal observers (n 1⁄4 185). These data were then used to evaluate the most commonly used colour appear- ance model, CIECAM02, by transforming the CIEXYZ tris- timulus values of the unique hues to the CIECAM02 colour appearance attributes, lightness, chroma and hue angle. We report two findings: (1) the hue angles derived from our unique hue data are inconsistent with the commonly used Natural Color System hues that are incorporated in the CIECAM02 model. We argue that our predicted unique hue angles (derived from our large dataset) provide a more reliable standard for colour management applications when the precise specification of these salient colours is im- portant. (2) We test hue uniformity for CIECAM02 in all four unique hues and show significant disagreements for all hues, except for unique red which seems to be invariant under lightness changes. Our dataset is useful to improve the CIECAM02 model as it provides reliable data for benchmarking. |
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Publisher |
Wiley Periodicals Inc |
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Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ XWF2011 |
Serial |
1816 |
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Author |
David Roche; Debora Gil; Jesus Giraldo |
Title |
Using statistical inference for designing termination conditions ensuring convergence of Evolutionary Algorithms |
Type |
Conference Article |
Year |
2011 |
Publication |
11th European Conference on Artificial Life |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Abstract |
A main challenge in Evolutionary Algorithms (EAs) is determining a termination condition ensuring stabilization close to the optimum in real-world applications. Although for known test functions distribution-based quantities are good candidates (as far as suitable parameters are used), in real-world problems an open question still remains unsolved. How can we estimate an upper-bound for the termination condition value ensuring a given accuracy for the (unknown) EA solution?
We claim that the termination problem would be fully solved if we defined a quantity (depending only on the EA output) behaving like the solution accuracy. The open question would be, then, satisfactorily answered if we had a model relating both quantities, since accuracy could be predicted from the alternative quantity. We present a statistical inference framework addressing two topics: checking the correlation between the two quantities and defining a regression model for predicting (at a given confidence level) accuracy values from the EA output. |
Address |
Paris, France |
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ECAL |
Notes |
IAM; |
Approved |
no |
Call Number |
IAM @ iam @ RGG2011b |
Serial |
1678 |
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Author |
Ferran Diego; Daniel Ponsa; Joan Serrat; Antonio Lopez |
Title |
Video Alignment for Change Detection |
Type |
Journal Article |
Year |
2011 |
Publication |
IEEE Transactions on Image Processing |
Abbreviated Journal |
TIP |
Volume |
20 |
Issue |
7 |
Pages |
1858-1869 |
Keywords |
video alignment |
Abstract |
In this work, we address the problem of aligning two video sequences. Such alignment refers to synchronization, i.e., the establishment of temporal correspondence between frames of the first and second video, followed by spatial registration of all the temporally corresponding frames. Video synchronization and alignment have been attempted before, but most often in the relatively simple cases of fixed or rigidly attached cameras and simultaneous acquisition. In addition, restrictive assumptions have been applied, including linear time correspondence or the knowledge of the complete trajectories of corresponding scene points; to some extent, these assumptions limit the practical applicability of any solutions developed. We intend to solve the more general problem of aligning video sequences recorded by independently moving cameras that follow similar trajectories, based only on the fusion of image intensity and GPS information. The novelty of our approach is to pose the synchronization as a MAP inference problem on a Bayesian network including the observations from these two sensor types, which have been proved complementary. Alignment results are presented in the context of videos recorded from vehicles driving along the same track at different times, for different road types. In addition, we explore two applications of the proposed video alignment method, both based on change detection between aligned videos. One is the detection of vehicles, which could be of use in ADAS. The other is online difference spotting videos of surveillance rounds. |
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Notes |
ADAS; IF |
Approved |
no |
Call Number |
DPS 2011; ADAS @ adas @ dps2011 |
Serial |
1705 |
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Author |
C. Alejandro Parraga; Olivier Penacchio; Maria Vanrell |
Title |
Retinal Filtering Matches Natural Image Statistics at Low Luminance Levels |
Type |
Journal Article |
Year |
2011 |
Publication |
Perception |
Abbreviated Journal |
PER |
Volume |
40 |
Issue |
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Pages |
96 |
Keywords |
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Abstract |
The assumption that the retina’s main objective is to provide a minimum entropy representation to higher visual areas (ie efficient coding principle) allows to predict retinal filtering in space–time and colour (Atick, 1992 Network 3 213–251). This is achieved by considering the power spectra of natural images (which is proportional to 1/f2) and the suppression of retinal and image noise. However, most studies consider images within a limited range of lighting conditions (eg near noon) whereas the visual system’s spatial filtering depends on light intensity and the spatiochromatic properties of natural scenes depend of the time of the day. Here, we explore whether the dependence of visual spatial filtering on luminance match the changes in power spectrum of natural scenes at different times of the day. Using human cone-activation based naturalistic stimuli (from the Barcelona Calibrated Images Database), we show that for a range of luminance levels, the shape of the retinal CSF reflects the slope of the power spectrum at low spatial frequencies. Accordingly, the retina implements the filtering which best decorrelates the input signal at every luminance level. This result is in line with the body of work that places efficient coding as a guiding neural principle. |
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Notes |
CIC |
Approved |
no |
Call Number |
Admin @ si @ PPV2011 |
Serial |
1720 |
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Author |
Albert Ali Salah; Theo Gevers; Nicu Sebe; Alessandro Vinciarelli |
Title |
Computer Vision for Ambient Intelligence |
Type |
Journal Article |
Year |
2011 |
Publication |
Journal of Ambient Intelligence and Smart Environments |
Abbreviated Journal |
JAISE |
Volume |
3 |
Issue |
3 |
Pages |
187-191 |
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ISE |
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no |
Call Number |
Admin @ si @ SGS2011a |
Serial |
1725 |
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Author |
Jordi Vitria; Joao Sanchez; Miguel Raposo; Mario Hernandez |
Title |
Pattern Recognition and Image Analysis |
Type |
Book Whole |
Year |
2011 |
Publication |
5th Iberian Conference Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
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Abstract |
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Address |
Las Palmas de Gran Canaria. Spain |
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Publisher |
Springer-Verlag |
Place of Publication |
Berlin |
Editor |
J. Vitrià; J. Sanchez; M. Raposo; M. Hernandez |
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ISBN |
978-3-642-2125 |
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IbPRIA |
Notes |
OR;MV |
Approved |
no |
Call Number |
Admin @ si @ VSR2011 |
Serial |
1730 |
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Author |
Michal Drozdzal; Santiago Segui; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria; Petia Radeva |
Title |
Interactive Labeling of WCE Images |
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 |
143-150 |
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Abstract |
A high quality labeled training set is necessary for any supervised machine learning algorithm. Labeling of the data can be a very expensive process, specially while dealing with data of high variability and complexity. A good example of such data are the videos from Wireless Capsule Endoscopy. Building a representative WCE data set means many videos to be labeled by an expert. The problem that occurs is the data diversity, in the space of the features, from different WCE studies. That means that when new data arrives it is highly probable that it will not be represented in the training set, thus getting a high probability of performing an error when applying machine learning schemes. In this paper an interactive labeling scheme that allows reducing expert effort in the labeling process is presented. It is shown that the number of human interventions can be significantly reduced. The proposed system allows the annotation of informative/non-informative frames of the WCE video with less than 100 clicks |
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Las Palmas de Gran Canaria. Spain |
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Springer |
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Editor |
Vitria, Jordi; Sanches, João Miguel Raposo; Hernández, Mario |
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IbPRIA |
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MILAB;OR;MV |
Approved |
no |
Call Number |
Admin @ si @ DSM2011 |
Serial |
1734 |
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Author |
Antonio Hernandez; Carlo Gatta; Laura Igual; Sergio Escalera; Petia Radeva |
Title |
Automatic Angiography Segmentation Based on Improved Graph-cut |
Type |
Conference Article |
Year |
2011 |
Publication |
Jornada TIC Salut Girona |
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TICGI |
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MILAB;HuPBA |
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no |
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Admin @ si @ HGI2011 |
Serial |
1754 |
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Author |
Laura Igual; Antonio Hernandez; Sergio Escalera; Miguel Reyes; Josep Moya; Joan Carles Soliva; Jordi Faquet; Oscar Vilarroya; Petia Radeva |
Title |
Automatic Techniques for Studying Attention-Deficit/Hyperactivity Disorder |
Type |
Conference Article |
Year |
2011 |
Publication |
Jornada TIC Salut Girona |
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TICGI |
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MILAB;HuPBA |
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no |
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Admin @ si @ IHE2011 |
Serial |
1755 |
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Author |
David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin |
Title |
Cool world: domain adaptation of virtual and real worlds for human detection using active learning |
Type |
Conference Article |
Year |
2011 |
Publication |
NIPS Domain Adaptation Workshop: Theory and Application |
Abbreviated Journal |
NIPS-DA |
Volume |
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Keywords |
Pedestrian Detection; Virtual; Domain Adaptation; Active Learning |
Abstract |
Image based human detection is of paramount interest for different applications. The most promising human detectors rely on discriminatively learnt classifiers, i.e., trained with labelled samples. However, labelling is a manual intensive task, especially in cases like human detection where it is necessary to provide at least bounding boxes framing the humans for training. To overcome such problem, in Marin et al. we have proposed the use of a virtual world where the labels of the different objects are obtained automatically. This means that the human models (classifiers) are learnt using the appearance of realistic computer graphics. Later, these models are used for human detection in images of the real world. The results of this technique are surprisingly good. However, these are not always as good as the classical approach of training and testing with data coming from the same camera and the same type of scenario. Accordingly, in Vazquez et al. we cast the problem as one of supervised domain adaptation. In doing so, we assume that a small amount of manually labelled samples from real-world images is required. To collect these labelled samples we use an active learning technique. Thus, ultimately our human model is learnt by the combination of virtual- and real-world labelled samples which, to the best of our knowledge, was not done before. Here, we term such combined space cool world. In this extended abstract we summarize our proposal, and include quantitative results from Vazquez et al. showing its validity. |
Address |
Granada, Spain |
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Granada, Spain |
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English |
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English |
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DA-NIPS |
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ADAS |
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no |
Call Number |
ADAS @ adas @ VLP2011b |
Serial |
1756 |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
Title |
User Verification From Walking Activity. First Steps Towards a Personal Verification System |
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Conference Article |
Year |
2011 |
Publication |
1st International Conference on Pervasive and Embedded Computing and Communication Systems |
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Algarve, Portugal |
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PECCS |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ CPR2011c |
Serial |
1762 |
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