A new pedestrian detection descriptor based on the use of spatial recurrences
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Título
A new pedestrian detection descriptor based on the use of spatial recurrencesFecha de publicación
2011Editor
Springer-VerlagISSN
0302-9743Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.springerlink.com/content/r25017467821847r/fulltext.pdfPalabras clave / Materias
Resumen
Recent work on pedestrian detection has relied on the concept of local co-occurences of features to propose higher-order, richer
descriptors. While this idea has proven to be benefitial for this detection task, it ... [+]
Recent work on pedestrian detection has relied on the concept of local co-occurences of features to propose higher-order, richer
descriptors. While this idea has proven to be benefitial for this detection task, it fails to properly account for a more general and/or holistic
representation. In this paper, a novel, flexible, and modular descriptor is
proposed which is based on the alternative concept of visual recurrence
and, in particular, on a mathematically sound tool, the recurrence plot.
The experimental work conducted provides evidence on the discriminatory power of the descriptor, with results comparable to recent similar
approaches. Furthermore, since its degree of locality, its visual compactness, and the pair-wise feature similarity can be easily changed, it holds
promise to account for characterizations of other descriptors, as well as
for a range of accuracy-computational trade-offs for pedestrian detection
and, possibly, also for other object detection problems. [-]
Publicado en
Lecture notes in computer science (2011), vol. 6855, 97-104Derechos de acceso
© Springer-Verlag
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