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