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Author Angel Sappa; Fadi Dornaika; David Geronimo; Antonio Lopez edit   pdf
url  openurl
  Title Registration-based Moving Object Detection from a Moving Camera Type Conference Article
  Year 2008 Publication IROS2008 2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles Abbreviated Journal  
  Volume Issue Pages 65–69  
  Keywords  
  Abstract This paper presents 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 stages. Initially, feature points are extracted and tracked through consecutive frames. Then, a RANSAC based approach is used for registering
two 3D point sets with known correspondences by means of the quaternion method. Finally, the computed 3D rigid displacement is used to map two consecutive frames into the same coordinate system. Moving objects correspond to those areas with large registration errors. Experimental results, in different scenarios, show the viability of the proposed approach.		  
  Address Nice (France)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SDG2008 Serial 1017  
Permanent link to this record
 
 
Author Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez edit   pdf
openurl 
  Title An Adapted Alternation Approach for Recommender Systems Type Conference Article
  Year 2008 Publication IEEE International Conference on e–Business Engineering, Abbreviated Journal  
  Volume Issue Pages 128–135  
  Keywords  
  Abstract This paper presents an adaptation of the alternation technique to tackle the prediction task in recommender systems. These systems are widely considered in electronic commerce to help customers to find products they will probably like or dislike. As the SVD-based approaches, the proposed adapted alternation technique uses all the information stored in the system to find the predictions. The main advantage of this technique with respect to the SVD-based ones is that it can deal with missing data. Furthermore, it has a smaller computational cost. Experimental results with public data sets are provided in order to show the viability of the proposed adapted alternation approach.  
  Address Xi’an (Xina)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ JSL2008e Serial 1044  
Permanent link to this record
 
 
Author Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich edit   pdf
openurl 
  Title Illuminant Invariant Model-Based Road Segmentation Type Conference Article
  Year 2008 Publication IEEE Intelligent Vehicles Symposium, Abbreviated Journal  
  Volume Issue Pages 1155–1180  
  Keywords road detection  
  Abstract  
  Address Eindhoven (The Netherlands)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS;CIC Approved no  
  Call Number ADAS @ adas @ ALB2008 Serial 1045  
Permanent link to this record
 
 
Author Jose Manuel Alvarez; Antonio Lopez edit   pdf
openurl 
  Title Novel Index for Objective Evaluation of Road Detection Algorithms Type Conference Article
  Year 2008 Publication Intelligent Transportation Systems. 11th International IEEE Conference on, Abbreviated Journal  
  Volume Issue Pages 815–820  
  Keywords road detection  
  Abstract  
  Address Beijing (Xina)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ITSC  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ AlL2008 Serial 1074  
Permanent link to this record
 
 
Author Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat edit   pdf
openurl 
  Title Nightime Vehicle Detecion for Intelligent Headlight Control Type Conference Article
  Year 2008 Publication Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, Abbreviated Journal  
  Volume 5259 Issue Pages 113–124  
  Keywords Intelligent Headlights; vehicle detection  
  Abstract  
  Address Juan-les-Pins, France  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ACIVS  
  Notes ADAS;CIC Approved no  
  Call Number ADAS @ adas @ LHB2008a Serial 1098  
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Author Arnau Ramisa; Adriana Tapus; Ramon Lopez de Mantaras; Ricardo Toledo edit  openurl
  Title Mobile Robot Localization using Panoramic Vision and Combination of Feature Region Detectors Type Conference Article
  Year 2008 Publication IEEE International Conference on Robotics and Automation, Abbreviated Journal  
  Volume Issue Pages 538–543  
  Keywords  
  Abstract  
  Address Pasadena; CA; USA  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICRA  
  Notes RV;ADAS Approved no  
  Call Number Admin @ si @ RTL2008 Serial 1144  
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Author Jose Manuel Alvarez; Theo Gevers; Antonio Lopez edit   pdf
doi  isbn
openurl 
  Title Learning Photometric Invariance from Diversified Color Model Ensembles Type Conference Article
  Year 2009 Publication 22nd IEEE Conference on Computer Vision and Pattern Recognition Abbreviated Journal  
  Volume Issue Pages 565–572  
  Keywords road detection  
  Abstract Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the imaging conditions affecting negatively the performance of the task at hand. Often, a reflection model (e.g., Lambertian or dichromatic reflectance) is used to derive color invariant models. However, those reflection models might be too restricted to model real-world scenes in which different reflectance mechanisms may hold simultaneously. Therefore, in this paper, we aim to derive color invariance by learning from color models to obtain diversified color invariant ensembles. First, a photometrical orthogonal and non-redundant color model set is taken on input composed of both color variants and invariants. Then, the proposed method combines and weights these color models to arrive at a diversified color ensemble yielding a proper balance between invariance (repeatability) and discriminative power (distinctiveness). To achieve this, the fusion method uses a multi-view approach to minimize the estimation error. In this way, the method is robust to data uncertainty and produces properly diversified color invariant ensembles. Experiments are conducted on three different image datasets to validate the method. From the theoretical and experimental results, it is concluded that the method is robust against severe variations in imaging conditions. The method is not restricted to a certain reflection model or parameter tuning. Further, the method outperforms state-of- the-art detection techniques in the field of object, skin and road recognition.  
  Address Miami (USA)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1063-6919 ISBN 978-1-4244-3992-8 Medium  
  Area Expedition Conference CVPR  
  Notes ADAS;ISE Approved no  
  Call Number ADAS @ adas @ AGL2009 Serial 1169  
Permanent link to this record
 
 
Author Mohammad Rouhani; Angel Sappa edit  doi
isbn  openurl
  Title A Novel Approach to Geometric Fitting of Implicit Quadrics Type Conference Article
  Year 2009 Publication 8th International Conference on Advanced Concepts for Intelligent Vision Systems Abbreviated Journal  
  Volume 5807 Issue Pages 121–132  
  Keywords  
  Abstract This paper presents a novel approach for estimating the geometric distance from a given point to the corresponding implicit quadric curve/surface. The proposed estimation is based on the height of a tetrahedron, which is used as a coarse but reliable estimation of the real distance. The estimated distance is then used for finding the best set of quadric parameters, by means of the Levenberg-Marquardt algorithm, which is a common framework in other geometric fitting approaches. Comparisons of the proposed approach with previous ones are provided to show both improvements in CPU time as well as in the accuracy of the obtained results.  
  Address Bordeaux, France  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-04696-4 Medium  
  Area Expedition Conference ACIVS  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ RoS2009 Serial 1194  
Permanent link to this record
 
 
Author Jose Manuel Alvarez; Ferran Diego; Joan Serrat; Antonio Lopez edit   pdf
doi  isbn
openurl 
  Title Automatic Ground-truthing using video registration for on-board detection algorithms Type Conference Article
  Year 2009 Publication 16th IEEE International Conference on Image Processing Abbreviated Journal  
  Volume Issue Pages 4389 - 4392  
  Keywords  
  Abstract Ground-truth data is essential for the objective evaluation of object detection methods in computer vision. Many works claim their method is robust but they support it with experiments which are not quantitatively assessed with regard some ground-truth. This is one of the main obstacles to properly evaluate and compare such methods. One of the main reasons is that creating an extensive and representative ground-truth is very time consuming, specially in the case of video sequences, where thousands of frames have to be labelled. Could such a ground-truth be generated, at least in part, automatically? Though it may seem a contradictory question, we show that this is possible for the case of video sequences recorded from a moving camera. The key idea is transferring existing frame segmentations from a reference sequence into another video sequence recorded at a different time on the same track, possibly under a different ambient lighting. We have carried out experiments on several video sequence pairs and quantitatively assessed the precision of the transformed ground-truth, which prove that our approach is not only feasible but also quite accurate.  
  Address Cairo, Egypt  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1522-4880 ISBN 978-1-4244-5653-6 Medium  
  Area Expedition Conference ICIP  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ ADS2009 Serial 1201  
Permanent link to this record
 
 
Author Angel Sappa; Mohammad Rouhani edit  doi
isbn  openurl
  Title Efficient Distance Estimation for Fitting Implicit Quadric Surfaces Type Conference Article
  Year 2009 Publication 16th IEEE International Conference on Image Processing Abbreviated Journal  
  Volume Issue Pages 3521–3524  
  Keywords  
  Abstract This paper presents a novel approach for estimating the shortest Euclidean distance from a given point to the corresponding implicit quadric fitting surface. It first estimates the orthogonal orientation to the surface from the given point; then the shortest distance is directly estimated by intersecting the implicit surface with a line passing through the given point according to the estimated orthogonal orientation. The proposed orthogonal distance estimation is easily obtained without increasing computational complexity; hence it can be used in error minimization surface fitting frameworks. Comparisons of the proposed metric with previous approaches are provided to show both improvements in CPU time as well as in the accuracy of the obtained results. Surfaces fitted by using the proposed geometric distance estimation and state of the art metrics are presented to show the viability of the proposed approach.  
  Address Cairo, Egypt  
  Corporate Author Thesis  
  Publisher Place of Publication Editor (up)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1522-4880 ISBN 978-1-4244-5653-6 Medium  
  Area Expedition Conference ICIP  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SaR2009 Serial 1232  
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