コンテンツメニュー

Fujinoki Kensuke


Unusual behavior monitoring method using MHI by wavelet preprocessing and support vector machine

大島商船高等専門学校紀要 Volume 45 Page 21-28
published_at 2012-12
OS10045000004.pdf
[fulltext] 2.51 MB
Title
ウェーブレット処理とSVMを用いたMHIによる不審動作監視
Unusual behavior monitoring method using MHI by wavelet preprocessing and support vector machine
Creators Ishibashi Takuya
Creators Fujinoki Kensuke
Creators Okataku Yasukuni
Source Identifiers
Creator Keywords
Motion History Image MHI support vector machine SVM wavelet Gabor filter Haar wavelet transform
This paper prescribes an approach for providing a method of detecting unusual human behavior from video images processed by Motion History Image (MHI) method. The video input data are pre- processed by Gabor filter or Haar wavelet transform and formulate MHI which are classified by SVM learning examples of usual and unusual behaviors. The four types characteristic features derived from MHI data are evaluated.
Languages jpn
Resource Type departmental bulletin paper
Publishers 大島商船高等専門学校
Date Issued 2012-12
File Version Version of Record
Access Rights open access
Relations
[ISSN]0387-9232
[NCID]AN00031668