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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?
Author(s): Castrillón-Santana M, Vuong QC
Editor(s): Marín, R; Onaindía, E; Bugarín, A; Santos, J
Publication type: Book Chapter
Publication status: Published
Book Title: Current Topics in Artificial Intelligence
Print publication date: 16/11/2005
Series Title: Lecture Notes in Artificial Intelligence
Publisher: Springer Verlag
Place Published: Santiago de Compostela, Spain
Notes: Revised selected papers from the 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005.
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