Detail publikace

Single template object detector based on histogram of oriented gradients

NOVÁK, P. BURGET, R. KARÁSEK, J. DUTTA, M.

Originální název

Single template object detector based on histogram of oriented gradients

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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%.

Klíčová slova

HOG, image object detection

Autoři

NOVÁK, P.; BURGET, R.; KARÁSEK, J.; DUTTA, M.

Rok RIV

2015

Vydáno

1. 7. 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"
}