A part-based rotational invariant hand detection

Jisu Kim, Jeonghyun Baek, Euntai Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper proposes part-based rotational invariant hand detection in complicated environment. The proposed method consists with 4 steps: head detection, back projection, hand rotation and hand detection. To improve the hand detection performance, the human head information is used for generating effective hand ROIs. Generated hand ROIs are verified using Histogram of Oriented (HOG) feature and Support Vector Machine (SVM) classifier. In the experiment, the proposed method is compared with previous methods and detection performance and computational time are evaluated.

Original languageEnglish
Title of host publicationiFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications
PublisherIEEE Computer Society
Pages127-129
Number of pages3
ISBN (Print)9781479903863
DOIs
Publication statusPublished - 2013 Jan 1
EventiFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications - Taipei, Taiwan, Province of China
Duration: 2013 Dec 62013 Dec 8

Publication series

NameiFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications

Other

OtheriFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications
CountryTaiwan, Province of China
CityTaipei
Period13/12/613/12/8

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

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  • Cite this

    Kim, J., Baek, J., & Kim, E. (2013). A part-based rotational invariant hand detection. In iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications (pp. 127-129). [6825422] (iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications). IEEE Computer Society. https://doi.org/10.1109/iFuzzy.2013.6825422