Single template object detector based on histogram of oriented gradients
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU116069" target="_blank" >RIV/00216305:26220/15:PU116069 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2015.7296367" target="_blank" >http://dx.doi.org/10.1109/TSP.2015.7296367</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2015.7296367" target="_blank" >10.1109/TSP.2015.7296367</a>
Alternative languages
Result language
angličtina
Original language name
Single template object detector based on histogram of oriented gradients
Original language description
Most of the current image object detection algorithms use very large data sets for their training and these methods are also optimized for those big data sets. Unfortunately, in many cases it is very costly or even impossible to collect large data sets for training (e.g. in medicine, astronomy, and other fields). In this paper a new approach based on Dalal's Histogram of Oriented Gradients (HOG) [3] is introduced. It is devoted for training from a single training template and is optimized to achieve reasonable accuracy with this limited training set. The accuracy is validated on 100 images, where half of them contains positive and the other half negative images. The accuracy achieved is 98%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
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
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-4799-8498-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
508-512
Publisher name
Neuveden
Place of publication
Prague, Czech Republic
Event location
Berlín
Event date
Jul 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000375231000258