Earticle

초록

영어

Robust detection of humans in image sequences is important for many applications. However, if humans are adjacent to each other, it is much more difficult to accurately detect them. In this paper, we propose a method to automatically detect multiple humans using motion information and Adaboost algorithm from a single camera on a mobile or stationary system. In case of mobile system, the ego-motion of the camera is compensated by the corresponding feature sets. The region of interest that moving objects are likely to exist is searched by the projection approach using a difference image between two consecutive images that an ego-motion is compensated. Human detector is learned by boosting a number of weak classifiers which are based on Harr-like features. The proposed approach has been tested to a number of image sequences, and it was shown to detect multiple humans very well.

목차

Abstract
 1. Introduction
 2. Detection of Multiple Humans
  2.1. Moving Objects Detection using Ego-motion Compensation
  2.2. Human Detection using Adaboost Algorithm
 3. Experimental Results
 4. Conclusions
 Acknowledgments
 References

키워드

저자

• JongSeok Lim [ Department of Computer Engineering, Yeungnam University, Korea ]
• WookHyun Kim [ Department of Computer Engineering, Yeungnam University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605