detect the presence of residues on the floor: 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, […]

Multi-class Multi-scale Stacked Sequential Learning  

classification and segmentation of large medical data sets – GPGPU Multi-class volume classification video

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

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 Cartogràfic de Catalunya  Traffic sign recognition in urban scenes VIDEO […]

Automatic segmentation of artifacts in X-Ray, CT, and MRI images using Graph Cut Theory.

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.

Aibo SURF-flow navigation Aibo object recognition Aibo 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. Execution example video

Multi-class Visual Object and Pattern Classification via Error Correcting Output Codes ECOCLib: Open Source Error-Correcting Output Codes library