INVESTIGADORES
LOTITO Pablo Andres
congresos y reuniones científicas
Título:
Pedestrian Detection Using a Feature Space Based on Colored Level Lines
Autor/es:
NEGRI, PABLO AUGUSTO; LOTITO, PABLO ANDRÉS
Lugar:
Buenos Aires
Reunión:
Congreso; 17th Iberoamerican Congress, CIARP 2012; 2012
Resumen:
This work gives the guidelines to develop a pedestrian detection
system using a feature space based on colored level lines, called
Movement Feature Space (MFS). Besides detecting the movement in the
scene, this feature space defines the descriptors used by the classifiers
to identify pedestrians. The multi-channel level lines approach has been
tested on the HSV color space, which improves the one-channel (gray
scale) level lines calculation. Locations hypotheses of pedestrian are performed
by a cascade of boosted classifiers. The validation of these regions
of interest is carry out by a Support Vector Machine classifier. Results
give more than 78.5 % of good detections on urban video sequences.