Combining human perception and geometric restrictions for automatic pedestrian detection

Authors:
M. Castrillón-Santana;Q. C. Vuong
Affiliations:
IUSIANI, Edificio Central del Parque Científico-Tecnológico, Campus Universitario de Tafira, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;Max Planck Institute for Biological Cybernetics, Cognitive & Computational Psychophysics, Tübingen, Germany
Venue:
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Year:
2005

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Abstract

Automatic detection systems do not perform as well as human observers, even on simple detection tasks. A potential solution to this problem is training vision systems on appropriate regions of interests (ROIs), in contrast to training on predefined and arbitrarily selected regions. Here we focus on detecting pedestrians in static scenes. Our aim is to answer the following question: Can automatic vision systems for pedestrian detection be improved by training them on perceptually-defined ROIs?