Energy based descriptors and their application for car detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093009" target="_blank" >RIV/61989100:27240/14:86093009 - isvavai.cz</a>
Result on the web
<a href="http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=HcTRp9Ut%2f8M%3d&t=1" target="_blank" >http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=HcTRp9Ut%2f8M%3d&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0004685804920499" target="_blank" >10.5220/0004685804920499</a>
Alternative languages
Result language
angličtina
Original language name
Energy based descriptors and their application for car detection
Original language description
In this paper, we propose a novel technique for object description. The proposed method is based on investigation of energy distribution (in the image) that describes the properties of objects. The energy distribution is encoded into a vector of features and the vector is then used as an input for the SVM classifier. Generally, the technique can be used for detecting arbitrary objects. In this paper, however, we demonstrate the robustness of the proposed descriptors for solving the problem of car detection. Compared with the state-of-the-art descriptors (e.g. HOG, Haar-like features), the proposed approach achieved better results, especially from the viewpoint of dimensionality of the feature vector; the proposed approach is able to successfully describe the objects of interest with a relatively small set of numbers without the use of methods for the reduction of feature vector
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
ISBN
978-989-758-003-1
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
492-499
Publisher name
SciTePress - Science and Technology Publications
Place of publication
[Portugalsko]
Event location
Lisabon
Event date
Jan 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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