Using appearance and context for outdoor scene object classification
dc.contributor.author
dc.date.accessioned
2010-05-18T10:30:50Z
dc.date.available
2010-05-03T15:05:05Z
2010-05-18T10:30:50Z
dc.date.issued
2005
dc.identifier.citation
Bosch Rué, A., Muñoz Pujol, X. i Martí Bonmatí, J. (2001). Positioning an underwater vehicle through image mosaicking. IEEE International Conference on Robotics and Automation : 2001 : Proceedings 2001 ICRA, 3, 2779 - 2784. Recuperat 18 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=933043
dc.identifier.isbn
0-7803-6576-3
dc.identifier.issn
1050-4729
dc.identifier.uri
dc.description.abstract
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ROBOT.2001.933043
dc.relation.ispartof
© IEEE International Conference on Robotics and Automation : 2001 : Proceedings 2001 ICRA, 2005, vol. 2
dc.relation.ispartofseries
Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Using appearance and context for outdoor scene object classification
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi
dc.identifier.idgrec
010719