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Computation of rotation local invariant features using the integral image for real time object detection

AuthorsVillamizar, Michael ; Sanfeliu, Alberto ; Andrade-Cetto, Juan
Object detection
Invariant feature
Issue Date2006
PublisherInstitute of Electrical and Electronics Engineers
Citation18th International Conference on Pattern Recognition: 81-85 (2006)
AbstractWe present a framework for object detection that is invariant to object translation, scale, rotation, and to some degree, occlusion, achieving high detection rates, at 14 fps in color images and at 30 fps in gray scale images. Our approach is based on boosting over a set of simple local features. In contrast to previous approaches, and to efficiently cope with orientation changes, we propose the use of non-Gaussian steerable filters, together with a new orientation integral image for a speedy computation of local orientation.
DescriptionPresentado al ICPR/2006 celebrado en Hong Kong (China).
Publisher version (URL)http://dx.doi.org/10.1109/ICPR.2006.399
Appears in Collections:(IRII) Libros y partes de libros
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