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Improving Cascade of Classifiers by Sliding Window Alignment in Between

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187158" target="_blank" >RIV/68407700:21230/11:00187158 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving Cascade of Classifiers by Sliding Window Alignment in Between

  • Original language description

    We improve an object detector based on cascade of classifiers by a local alignment of the sliding window. The detector needs to operate on a relatively sparse grid in order to achieve a real time performance on high-resolution images. The proposed localalignment in the middle of the cascade improves its recognition performance whilst retaining the necessary speed. We show that the moment of the alignment matters and discuss the performance in terms of false negatives and false positives. The proposed method is tested on a car detection problem.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

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

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 5th International Conference on Automation, Robotics and Applications

  • ISBN

    978-1-4577-0328-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    196-201

  • Publisher name

    Massey University

  • Place of publication

    Palmerston North

  • Event location

    Wellington

  • Event date

    Dec 6, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article