Sergio Escalera
Dept. Matemātica Aplicada i AnālisiUniversitat de Barcelona
Gran Via de les Corts Catalanes 585
08007, Barcelona, Spain
sergio (at) maia (dot) ub (dot) es
Human Pose Recovery and Behavior Analysis
Robot navigation and interaction
This smart phone application is able to detect text in complex scenes, remove text from images, reconstruct background, apply OCR,
translate text, and draw the new text as part of the image.
Multi-class Visual Object and Pattern Classification via Error Correcting Output Codes
In this project a mobile system takes pictures of urban street floor. The purpose of the project is first to detect the presence of
residues on the floor, the origin of those residues (organic/inorganic) and the categorization of each individual residue into more
explicit categories (e.g. paper, cigarette, can, etc).
Collaborators: INYPSA
Medical Image Segmentation
Automatic segmentation of artifacts in X-Ray, CT, and MRI images using Graph Cut Theory.
Automatic segmentation of artifacts in X-Ray, CT, and MRI images using Graph Cut Theory.
Mobile Mapping system: the position and orientation of the different traffic signs are measured with video cameras fixed on a moving
vehicle. Signs are detected by means of a cascade of classifiers using Adaboost. Multi-class traffic sign classification is then performed
using of Error Correcting Output Codes. Collaborators: Intitut Cartogrāfic de Catalunya
This system deals with the problem of multi-class airplain recognition within airport environments from video sequences, focusing
on the segmentation, feature extraction, and learning stages. Collaborators: AENA
Volum visualization: classification and segmentation of large medical data sets - GPGPU
Contextual learning: Multi-class Multi-scale Stacked Sequential Learning
Case Base Reasoning: In this project we combine feature weighting and Reinforcement Learning approaches to guide the user to a faster
convergence of product location in a case base data set.
