Improving Cascade of Classifiers by Sliding Window Alignment in Between

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187158" target="_blank" >RIV/68407700:21230/11:00187158 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Improving Cascade of Classifiers by Sliding Window Alignment in Between
Original language description
We improve an object detector based on cascade of classifiers by a local alignment of the sliding window. The detector needs to operate on a relatively sparse grid in order to achieve a real time performance on high-resolution images. The proposed localalignment in the middle of the cascade improves its recognition performance whilst retaining the necessary speed. We show that the moment of the alignment matters and discuss the performance in terms of false negatives and false positives. The proposed method is tested on a car detection problem.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 5th International Conference on Automation, Robotics and Applications
ISBN
978-1-4577-0328-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
196-201
Publisher name
Massey University
Place of publication
Palmerston North
Event location
Wellington
Event date
Dec 6, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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