Energy-transfer features and their application in the task of face detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088599" target="_blank" >RIV/61989100:27240/13:86088599 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6636631" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6636631</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/AVSS.2013.6636631" target="_blank" >10.1109/AVSS.2013.6636631</a>
Alternative languages
Result language
angličtina
Original language name
Energy-transfer features and their application in the task of face detection
Original language description
In this paper, we describe a novel and interesting approach for extracting the image features. The features we propose are efficient and robust; the feature vectors of relatively small dimensions are sufficient for successful recognition. We call them the energy-transfer features. In contrast, the classical features (e.g. HOG, Haar features) that are combined with the trainable classifiers (e.g. a support vector machine, neural network) require large training sets due to their high dimensionality. The large training sets are difficult to acquire in many cases. In addition to that, the large training sets slow down the training phase. Moreover, the high dimension of feature vector also slows down the detection phase and the methods for the reduction offeature vector must be used. These shortcomings became the motivation for creating the features that are able to describe the object of interest with a relatively small number of numerical values without the use of methods for the reducti
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013
ISBN
978-1-4799-0703-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
147 - 152
Publisher name
IEEE
Place of publication
Piscataway
Event location
Krakow
Event date
Aug 27, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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