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Detail publikačního výsledku
NOVÁK, P.; BURGET, R.; KARÁSEK, J.; DUTTA, M.
Originální název
Single template object detector based on histogram of oriented gradients
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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%.
Anglický abstrakt
Klíčová slova
HOG, image object detection
Klíčová slova v angličtině
Autoři
Rok RIV
2016
Vydáno
01.07.2015
Místo
Prague, Czech Republic
ISBN
978-1-4799-8498-5
Kniha
International Conference on Telecommunications and Signal Processing (TSP)
Edice
38
Strany od
508
Strany do
512
Strany počet
5
BibTex
@inproceedings{BUT117997, author="Pavel {Novák} and Radim {Burget} and Jan {Karásek} and Malay Kishore {Dutta}", title="Single template object detector based on histogram of oriented gradients", booktitle="International Conference on Telecommunications and Signal Processing (TSP)", year="2015", series="38", pages="508--512", address="Prague, Czech Republic", doi="10.1109/TSP.2015.7296367", isbn="978-1-4799-8498-5" }