Publication detail

Single template object detector based on histogram of oriented gradients

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

Original Title

Single template object detector based on histogram of oriented gradients

Type

conference paper

Language

English

Original Abstract

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%.

Keywords

HOG, image object detection

Authors

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

RIV year

2015

Released

1. 7. 2015

Location

Prague, Czech Republic

ISBN

978-1-4799-8498-5

Book

International Conference on Telecommunications and Signal Processing (TSP)

Edition

38

Pages from

508

Pages to

512

Pages count

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"
}