Earticle

초록

영어

This paper proposes a human action recognition algorithm which can be efficiently applied to a real-time intelligent surveillance system. This method models the background, obtains the difference image between input image and the modeled background image, extracts the silhouette of human object from input image, and recognizes human action by using coordinates of object, directions of that and accumulated moving regions of that. The human actions recognized in this study amount to a total of 8 type of actions, which include walking, raising an arm (left, right), raising a leg (left, right), sitting and crouching. The proposed method has been experimented for 8 different movements using 4 people using video input of a webcam and it has shown good results in terms of recognizing human action.

목차

Abstract
 1. Introduction
 2. Human Action Recognition Using Accumulated Moving Information Correct
  2.1. Creation of Accumulated Moving Information Image Using Object-Background Segmentation and Moving Region
  2.2. Action Recognition Using Moving Region
 3. Test and Result
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Nae-Joung Kwak [ Dept. Communication & Information, Chungbuk National University Cheongju, 362-763, KOREA ]
• Teuk-Seob Song [ Div. Convergence Computer and Media, Mokwon University, Daejeon, 302-729, KOREA ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605