| Records |
| Author |
Fernando Barrera; Felipe Lumbreras; Cristhian Aguilera; Angel Sappa |
| Title |
Planar-Based Multispectral Stereo |
Type |
Conference Article |
| Year |
2012 |
Publication |
11th Quantitative InfraRed Thermography |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
Naples, Italy |
| Corporate Author |
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Place of Publication |
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Summary Language |
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Original Title |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
QIRT |
Notes  |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ BLA2012 |
Serial |
2016 |
| Permanent link to this record |
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| Author |
German Ros; Angel Sappa; Daniel Ponsa; Antonio Lopez |
| Title |
Visual SLAM for Driverless Cars: A Brief Survey |
Type |
Conference Article |
| Year |
2012 |
Publication |
IEEE Workshop on Navigation, Perception, Accurate Positioning and Mapping for Intelligent Vehicles |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
SLAM |
| Abstract |
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| Address |
Alcalá de Henares |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Original Title |
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| Series Editor |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
IVW |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RSP2012; ADAS @ adas |
Serial |
2019 |
| Permanent link to this record |
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| Author |
Naveen Onkarappa; Angel Sappa |
| Title |
An Empirical Study on Optical Flow Accuracy Depending on Vehicle Speed |
Type |
Conference Article |
| Year |
2012 |
Publication |
IEEE Intelligent Vehicles Symposium |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1138-1143 |
| Keywords |
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| Abstract |
Driver assistance and safety systems are getting attention nowadays towards automatic navigation and safety. Optical flow as a motion estimation technique has got major roll in making these systems a reality. Towards this, in the current paper, the suitability of polar representation for optical flow estimation in such systems is demonstrated. Furthermore, the influence of individual regularization terms on the accuracy of optical flow on image sequences of different speeds is empirically evaluated. Also a new synthetic dataset of image sequences with different speeds is generated along with the ground-truth optical flow. |
| Address |
Alcalá de Henares |
| Corporate Author |
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Thesis |
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| Publisher |
IEEE Xplore |
Place of Publication |
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Editor |
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| 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 |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1931-0587 |
ISBN |
978-1-4673-2119-8 |
Medium |
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| Area |
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Expedition |
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Conference |
IV |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ NaS2012 |
Serial |
2020 |
| Permanent link to this record |
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| |
| Author |
Miguel Oliveira; Angel Sappa; V. Santos |
| Title |
Color Correction for Onboard Multi-camera Systems using 3D Gaussian Mixture Models |
Type |
Conference Article |
| Year |
2012 |
Publication |
IEEE Intelligent Vehicles Symposium |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
299-303 |
| Keywords |
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| Abstract |
The current paper proposes a novel color correction approach for onboard multi-camera systems. It works by segmenting the given images into several regions. A probabilistic segmentation framework, using 3D Gaussian Mixture Models, is proposed. Regions are used to compute local color correction functions, which are then combined to obtain the final corrected image. An image data set of road scenarios is used to establish a performance comparison of the proposed method with other seven well known color correction algorithms. Results show that the proposed approach is the highest scoring color correction method. Also, the proposed single step 3D color space probabilistic segmentation reduces processing time over similar approaches. |
| Address |
Alcalá de Henares |
| Corporate Author |
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Thesis |
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| Publisher |
IEEE Xplore |
Place of Publication |
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Editor |
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| 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 |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1931-0587 |
ISBN |
978-1-4673-2119-8 |
Medium |
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| Area |
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Expedition |
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Conference |
IV |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ OSS2012b |
Serial |
2021 |
| Permanent link to this record |
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| Author |
German Ros; Jesus Martinez del Rincon; Gines Garcia-Mateos |
| Title |
Articulated Particle Filter for Hand Tracking |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
3581 - 3585 |
| Keywords |
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| Abstract |
This paper proposes a new version of Particle Filter, called Articulated Particle Filter – ArPF -, which has been specifically designed for an efficient sampling of hierarchical spaces, generated by articulated objects. Our approach decomposes the articulated motion into layers for efficiency purposes, making use of a careful modeling of the diffusion noise along with its propagation through the articulations. This produces an increase of accuracy and prevent for divergences. The algorithm is tested on hand tracking due to its complex hierarchical articulated nature. With this purpose, a new dataset generation tool for quantitative evaluation is also presented in this paper. |
| Address |
Tsukuba Science City, Japan |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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| 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 |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1051-4651 |
ISBN |
978-1-4673-2216-4 |
Medium |
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| Area |
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Expedition |
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Conference |
ICPR |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RMG2012 |
Serial |
2031 |
| Permanent link to this record |
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| Author |
Jose Carlos Rubio; Joan Serrat; Antonio Lopez |
| Title |
Unsupervised co-segmentation through region matching |
Type |
Conference Article |
| Year |
2012 |
Publication |
25th IEEE Conference on Computer Vision and Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
749-756 |
| Keywords |
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| Abstract |
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiple-scale multiple-image generative model, which jointly estimates the foreground and background appearance distributions from several images, in a non-supervised manner. In contrast to other co-segmentation methods, our approach does not require the images to have similar foregrounds and different backgrounds to function properly. Region matching is applied to exploit inter-image information by establishing correspondences between the common objects that appear in the scene. Moreover, computing many-to-many associations of regions allow further applications, like recognition of object parts across images. We report results on iCoseg, a challenging dataset that presents extreme variability in camera viewpoint, illumination and object deformations and poses. We also show that our method is robust against large intra-class variability in the MSRC database. |
| Address |
Providence, Rhode Island |
| Corporate Author |
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Thesis |
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| Publisher |
IEEE Xplore |
Place of Publication |
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Editor |
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| 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 |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1063-6919 |
ISBN |
978-1-4673-1226-4 |
Medium |
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| Area |
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Expedition |
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Conference |
CVPR |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RSL2012b; ADAS @ adas @ |
Serial |
2033 |
| Permanent link to this record |
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| |
| Author |
Jose Carlos Rubio; Joan Serrat; Antonio Lopez |
| Title |
Multiple target tracking and identity linking under split, merge and occlusion of targets and observations |
Type |
Conference Article |
| Year |
2012 |
Publication |
1st International Conference on Pattern Recognition Applications and Methods |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
Algarve, Portugal |
| Corporate Author |
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Place of Publication |
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Summary Language |
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Series Title |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
ICPRAM |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RSL2012c; ADAS @ adas |
Serial |
2034 |
| Permanent link to this record |
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| Author |
Ferran Diego; G.D. Evangelidis; Joan Serrat |
| Title |
Night-time outdoor surveillance by mobile cameras |
Type |
Conference Article |
| Year |
2012 |
Publication |
1st International Conference on Pattern Recognition Applications and Methods |
Abbreviated Journal |
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| Volume |
2 |
Issue |
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Pages |
365-371 |
| Keywords |
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| Abstract |
This paper addresses the problem of video surveillance by mobile cameras. We present a method that allows online change detection in night-time outdoor surveillance. Because of the camera movement, background frames are not available and must be “localized” in former sequences and registered with the current frames. To this end, we propose a Frame Localization And Registration (FLAR) approach that solves the problem efficiently. Frames of former sequences define a database which is queried by current frames in turn. To quickly retrieve nearest neighbors, database is indexed through a visual dictionary method based on the SURF descriptor. Furthermore, the frame localization is benefited by a temporal filter that exploits the temporal coherence of videos. Next, the recently proposed ECC alignment scheme is used to spatially register the synchronized frames. Finally, change detection methods apply to aligned frames in order to mark suspicious areas. Experiments with real night sequences recorded by in-vehicle cameras demonstrate the performance of the proposed method and verify its efficiency and effectiveness against other methods. |
| Address |
Algarve, Portugal |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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| 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 |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
ICPRAM |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ DES2012 |
Serial |
2035 |
| Permanent link to this record |
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| Author |
Karel Paleček; David Geronimo; Frederic Lerasle |
| Title |
Pre-attention cues for person detection |
Type |
Conference Article |
| Year |
2012 |
Publication |
Cognitive Behavioural Systems, COST 2102 International Training School |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
225-235 |
| Keywords |
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| Abstract |
Current state-of-the-art person detectors have been proven reliable and achieve very good detection rates. However, the performance is often far from real time, which limits their use to low resolution images only. In this paper, we deal with candidate window generation problem for person detection, i.e. we want to reduce the computational complexity of a person detector by reducing the number of regions that has to be evaluated. We base our work on Alexe’s paper [1], which introduced several pre-attention cues for generic object detection. We evaluate these cues in the context of person detection and show that their performance degrades rapidly for scenes containing multiple objects of interest such as pictures from urban environment. We extend this set by new cues, which better suits our class-specific task. The cues are designed to be simple and efficient, so that they can be used in the pre-attention phase of a more complex sliding window based person detector. |
| Address |
Dresden, Germany |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| 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 |
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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 |
978-3-642-34583-8 |
Medium |
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| Area |
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Expedition |
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Conference |
COST-TS |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ PGL2012 |
Serial |
2148 |
| Permanent link to this record |
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| Author |
Jose Carlos Rubio; Joan Serrat; Antonio Lopez |
| Title |
Video Co-segmentation |
Type |
Conference Article |
| Year |
2012 |
Publication |
11th Asian Conference on Computer Vision |
Abbreviated Journal |
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| Volume |
7725 |
Issue |
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Pages |
13-24 |
| Keywords |
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| Abstract |
Segmentation of a single image is in general a highly underconstrained problem. A frequent approach to solve it is to somehow provide prior knowledge or constraints on how the objects of interest look like (in terms of their shape, size, color, location or structure). Image co-segmentation trades the need for such knowledge for something much easier to obtain, namely, additional images showing the object from other viewpoints. Now the segmentation problem is posed as one of differentiating the similar object regions in all the images from the more varying background. In this paper, for the first time, we extend this approach to video segmentation: given two or more video sequences showing the same object (or objects belonging to the same class) moving in a similar manner, we aim to outline its region in all the frames. In addition, the method works in an unsupervised manner, by learning to segment at testing time. We compare favorably with two state-of-the-art methods on video segmentation and report results on benchmark videos. |
| Address |
Daejeon, Korea |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| 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 |
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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 |
978-3-642-37443-2 |
Medium |
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| Area |
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Expedition |
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Conference |
ACCV |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RSL2012d |
Serial |
2153 |
| Permanent link to this record |
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| Author |
Monica Piñol; Angel Sappa; Ricardo Toledo |
| Title |
MultiTable Reinforcement for Visual Object Recognition |
Type |
Conference Article |
| Year |
2012 |
Publication |
4th International Conference on Signal and Image Processing |
Abbreviated Journal |
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| Volume |
221 |
Issue |
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Pages |
469-480 |
| Keywords |
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| Abstract |
This paper presents a bag of feature based method for visual object recognition. Our contribution is focussed on the selection of the best feature descriptor. It is implemented by using a novel multi-table reinforcement learning method that selects among five of classical descriptors (i.e., Spin, SIFT, SURF, C-SIFT and PHOW) the one that best describes each image. Experimental results and comparisons are provided showing the improvements achieved with the proposed approach. |
| Address |
Coimbatore, India |
| Corporate Author |
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Thesis |
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| Publisher |
Springer India |
Place of Publication |
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Editor |
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| 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 |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1876-1100 |
ISBN |
978-81-322-0996-6 |
Medium |
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| Area |
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Expedition |
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Conference |
ICSIP |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ PST2012 |
Serial |
2157 |
| Permanent link to this record |
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| Author |
Mohammad Rouhani; Angel Sappa |
| Title |
Non-Rigid Shape Registration: A Single Linear Least Squares Framework |
Type |
Conference Article |
| Year |
2012 |
Publication |
12th European Conference on Computer Vision |
Abbreviated Journal |
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| Volume |
7578 |
Issue |
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Pages |
264-277 |
| Keywords |
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| Abstract |
This paper proposes a non-rigid registration formulation capturing both global and local deformations in a single framework. This formulation is based on a quadratic estimation of the registration distance together with a quadratic regularization term. Hence, the optimal transformation parameters are easily obtained by solving a liner system of equations, which guarantee a fast convergence. Experimental results with challenging 2D and 3D shapes are presented to show the validity of the proposed framework. Furthermore, comparisons with the most relevant approaches are provided. |
| Address |
Florencia |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| 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 |
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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 |
978-3-642-33785-7 |
Medium |
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| Area |
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Expedition |
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Conference |
ECCV |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RoS2012a |
Serial |
2158 |
| Permanent link to this record |
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| Author |
Miguel Oliveira; V.Santos; Angel Sappa |
| Title |
Short term path planning using a multiple hypothesis evaluation approach for an autonomous driving competition |
Type |
Conference Article |
| Year |
2012 |
Publication |
IEEE 4th Workshop on Planning, Perception and Navigation for Intelligent Vehicles |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
Algarve; Portugal |
| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
PPNIV |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ OSS2012c |
Serial |
2159 |
| Permanent link to this record |
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| Author |
Katerine Diaz; Francesc J. Ferri; W. Diaz |
| Title |
Fast Approximated Discriminative Common Vectors using rank-one SVD updates |
Type |
Conference Article |
| Year |
2013 |
Publication |
20th International Conference On Neural Information Processing |
Abbreviated Journal |
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| Volume |
8228 |
Issue |
III |
Pages |
368-375 |
| Keywords |
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| Abstract |
An efficient incremental approach to the discriminative common vector (DCV) method for dimensionality reduction and classification is presented. The proposal consists of a rank-one update along with an adaptive restriction on the rank of the null space which leads to an approximate but convenient solution. The algorithm can be implemented very efficiently in terms of matrix operations and space complexity, which enables its use in large-scale dynamic application domains. Deep comparative experimentation using publicly available high dimensional image datasets has been carried out in order to properly assess the proposed algorithm against several recent incremental formulations.
K. Diaz-Chito, F.J. Ferri, W. Diaz |
| Address |
Daegu; Korea; November 2013 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| 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 |
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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 |
978-3-642-42050-4 |
Medium |
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| Area |
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Expedition |
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Conference |
ICONIP |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ DFD2013 |
Serial |
2439 |
| Permanent link to this record |
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| Author |
Jiaolong Xu; Sebastian Ramos; David Vazquez; Antonio Lopez |
| Title |
DA-DPM Pedestrian Detection |
Type |
Conference Article |
| Year |
2013 |
Publication |
ICCV Workshop on Reconstruction meets Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
Domain Adaptation; Pedestrian Detection |
| Abstract |
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| Address |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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| 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 |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
ICCVW-RR |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ XRV2013 |
Serial |
2569 |
| Permanent link to this record |
