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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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