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Displaying 1-16 out of 16 total
Survey of Pedestrian Detection for Advanced Driver Assistance Systems
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David Gerónimo, Antonio M. López, Angel D. Sappa, Thorsten Graf
Issue Date:July 2010
pp. 1239-1258
Advanced driver assistance systems (ADASs), and particularly pedestrian protection systems (PPSs), have become an active research area aimed at improving traffic safety. The major challenge of PPSs is the development of reliable on-board pedestrian detecti...
 
Evaluating Color Representations for On-Line Road Detection
Found in: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Jose M. Alvarez,Theo Gevers,Antonio M. Lopez
Issue Date:December 2013
pp. 594-599
Detecting traversable road areas ahead a moving vehicle is a key process for modern autonomous driving systems. Most existing algorithms use color to classify pixels as road or background. These algorithms reduce the effect of lighting variations and weath...
 
3D Scene priors for road detection
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
Issue Date:June 2010
pp. 57-64
Vision–based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, current vision–based road detection methods are usually based on low–level features...
 
Learning appearance in virtual scenarios for pedestrian detection
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Javier Marin, David Vazquez, David Geronimo, Antonio M. Lopez
Issue Date:June 2010
pp. 137-144
Detecting pedestrians in images is a key functionality to avoid vehicle-to-pedestrian collisions. The most promising detectors rely on appearance-based pedestrian classifiers trained with labelled samples. This paper addresses the following question: can a...
 
Domain Adaptation of Deformable Part-Based Models
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jiaolong Xu,Sebastian Ramos,David Vazquez,Antonio M. Lopez
Issue Date:December 2014
pp. 1-1
The accuracy of object classifiers can significantly drop when the training data (source domain) and the application scenario (target domain) have inherent differences. Therefore, adapting the classifiers to the scenario in which they must operate is of pa...
 
Motion-induced error correction in ultrasound imaging
Found in: 3D Data Processing Visualization and Transmission, International Symposium on
By David Lloret, Joan Serrat, Antonio M. López, Juan J. Villanueva
Issue Date:June 2002
pp. 79
Ultrasound imaging is a helpful aid for diagnosis in many medical specialities. In order to enhance the information available to the examiner, an upcoming approach is to compound the sequence of video images into a single 3D volume, which needs a real-time...
 
Random Forests of Local Experts for Pedestrian Detection
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Javier Marin,David Vazquez,Antonio M. Lopez,Jaume Amores,Bastian Leibe
Issue Date:December 2013
pp. 2592-2599
Pedestrian detection is one of the most challenging tasks in computer vision, and has received a lot of attention in the last years. Recently, some authors have shown the advantages of using combinations of part/patch-based detectors in order to cope with ...
 
Retinal Image Registration Using Creases as Anatomical Landmarks
Found in: Pattern Recognition, International Conference on
By David Lloret, Joan Serrat, Antonio M. López, Andrés Soler, Juan J. Villanueva
Issue Date:September 2000
pp. 3207
Retinal images are routinely used in ophthalmology to study the optical nerve head and the retina. To assess objectively the evolution of an illness, images taken at different times must be registered. Most methods appeared so far have been designed specif...
 
Evaluation of Methods for Ridge and Valley Detection
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Antonio M. López, Felipe Lumbreras, Joan Serrat, Juan J. Villanueva
Issue Date:April 1999
pp. 327-335
<p><b>Abstract</b>—Ridges and valleys are useful geometric features for image analysis. Different characterizations have been proposed to formalize the intuitive notion of ridge/valley. In this paper, we review their principal characteriz...
 
Cultural representations of gender among u. s. computer science undergraduates: statistical and data mining results
Found in: Proceedings of the 39th SIGCSE technical symposium on Computer science education (SIGCSE '08)
By Antonio M. Lopez, Frederick G. Lopez, Kun Zhang
Issue Date:March 2008
pp. 63-70
Worldwide, there is substantial evidence that cultural contexts may either support or hinder the number of women versus men participating in computing. There is also evidence that certain computing disciplines have more appeal to women than others. Hence r...
     
Virtual and Real World Adaptation for Pedestrian Detection
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David Vazquez,Antonio M. Lopez,Javier Marin,Daniel Ponsa,David Geronimo
Issue Date:April 2014
pp. 797-809
Pedestrian detection is of paramount interest for many applications. Most promising detectors rely on discriminatively learnt classifiers, i.e., trained with annotated samples. However, the annotation step is a human intensive and subjective task worth to ...
 
Virtual worlds and active learning for human detection
Found in: Proceedings of the 13th international conference on multimodal interfaces (ICMI '11)
By Antonio M. Lopez, Daniel Ponsa, David Vazquez, Javier Marin
Issue Date:November 2011
pp. 393-400
Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive res...
     
Climbing onto the shoulders of giants
Found in: Proceedings of the 36th SIGCSE technical symposium on Computer science education (SIGCSE '05)
By Antonio M. Lopez, Lisa J. Schulte, Marguerite S. Giguette
Issue Date:February 2005
pp. 203-231
The "incredible shrinking pipeline" problem has become the euphemism for the dilemma of declining numbers of women seeking bachelor's degrees in a computing discipline. The problem is well recognized, and many have suggested reasons for it. Unfortunately, ...
     
African American women in the computing sciences: a group to be studied
Found in: Proceedings of the 33rd SIGCSE technical symposium on Computer science education (SIGCSE '02)
By Antonio M. Lopez, Lisa J. Schulte
Issue Date:February 2002
pp. 313-317
Most will likely agree that fewer and fewer women are finding their way to completing a bachelor's degree in one of the computing sciences. However, in looking at data collected by the National Science Foundation (NSF) on bachelor's degrees in Computer Sci...
     
An undergraduate research program in multi-paradigm software design
Found in: Proceedings of the twenty-fifth SIGCSE symposium on Computer science education (SIGCSE '94)
By Antonio M. Lopez, Kenneth C. Messa
Issue Date:March 1994
pp. 313-317
This report describes several evaluation procedures used to assess the effectiveness of a newly-developed introductory computer science curriculum. The authors describe the development of a tool to evaluate changes in student's attitudes toward the compute...
     
Research experience for undergraduates (abstract)
Found in: Proceedings of the twenty-fourth SIGCSE technical symposium on Computer science education (SIGCSE '93)
By Antonio M. Lopez, Gerald L. Engel, Herbert L. Dershem, Santa Wiltz
Issue Date:February 1993
pp. 313-317
Performance is a central issue in parallel computing. In this paper, we describe our approach to teaching advanced undergraduates and graduate students about the fundamentals of measuring and analyzing the performance of programs running on a variety of pa...
     
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