Earticle

초록

영어

This paper proposes a method to analyze human actions and provide alarm service through a smart-phone. The proposed method extracts objects using camera input images and modeling background. This paper defines a action recognition parameter as an extracted object’ histogram and its joints’ information about human action recognition and analyzes changes in defined parameter to determine conditions for recognizing human actions. Furthermore, in order to systemically classify actions, the proposed method designs a decision tree and combines the defined conditions with a conditional expression of tree node, which enables effective action recognition and classification. Recognized actions are transferred to a smart phone as a simple value and the transferred result is displayed on the phone. The proposed method is tested from a video of a webcam about nine actions of four persons. As for action recognition and alarm service of a smart phone, the proposed method works well and effectively.

목차

Abstract
 1. Introduction
 2. Human Action Recognition and Alarm Service using Decision Tree
  2.1. Extracting Background Modeling and Objects
  2.2. Extracting Silhouette and Joints
  2.3. Action Pattern Recognition using Action Recognition Parameters and Decision Tree
  2.4. Transferring Information on Human Action
 3. Experiment and Result Analysis
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Nae-Joung Kwak [ Genetel systems.Inc, Dae-jeon, Korea ]
• Teuk-Seob Song [ Mokwon University, Doandong, Seogu, Dae-jeon, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605