A new pedestrian detection descriptor based on the use of spatial recurrences
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http://dx.doi.org/10.1007/978-3-642-23678-5 |
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Title
A new pedestrian detection descriptor based on the use of spatial recurrencesDate
2011Publisher
Springer-VerlagISSN
0302-9743Type
info:eu-repo/semantics/articlePublisher version
http://www.springerlink.com/content/r25017467821847r/fulltext.pdfAbstract
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. [-]
Is part of
Lecture notes in computer science (2011), vol. 6855, 97-104Rights
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