High-Speed Detection of Intruders from Image Sequences Taken by Rotating Camera

• Nakajima Chikahito

  Central Research Institute of Electric Power Industry National Institute of Informatics

• Satoh Shin'ichi

  National Institute of Informatics

• Shirai Yoshiaki

  Ritsumeikan University

• Ueno Haruki

  National Institute of Informatics

Bibliographic Information

Other Title

• 旋回中の監視カメラで撮影した画像からの高速な侵入者検知
• センカイチュウ ノ カンシ カメラ デ サツエイシタ ガゾウ カラノ コウソクナ シンニュウシャ ケンチ

Abstract

This paper proposes a high-speed detection method of walking intruders by a rotating camera. Our detection method is composed of the next two steps. At first, it detects candidate areas including the walking intruders. Then it classifies the candidate area into two groups by pattern recognition technique: one group is the target object and another is background. We made comparison between our detection method and existing methods that are able to detect moving objects in real-time. The comparison results show that our proposed method is the best performance in response times among them. The frame rate of candidate area detection is 67.2 fps and total frame rate that includes pattern recognition is 33.9 fps for images of 360×240 pixels.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 127 (3), 359-366, 2007

  The Institute of Electrical Engineers of Japan

Keywords

• image monitoring
• intruder detection
• block matching
• motion history image
• machine learning

Details

• CRID: 1390282679581641088
• NII Article ID: 10018738238
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.127.359
• BIBCODE: 2007ITEIS.127..359N
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 8728433
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8728433
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/127/3/127_3_359/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed