Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Multiple Camera-based Person Correspondence using Color Distribution and Context Information of Human Body

색상 분포 및 인체의 상황정보를 활용한 다중카메라 기반의 사람 대응

  • 채현욱 (울산대학교 전기전자정보시스템공학부) ;
  • 서동욱 (모터웰(주)) ;
  • 강석주 (울산대학교 전기전자정보시스템공학부) ;
  • 조강현 (울산대학교 전기전자정보시스템공학부)
  • Published : 2009.09.01
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Abstract

In this paper, we proposed a method which corresponds people under the structured spaces with multiple cameras. The correspondence takes an important role for using multiple camera system. For solving this correspondence, the proposed method consists of three main steps. Firstly, moving objects are detected by background subtraction using a multiple background model. The temporal difference is simultaneously used to reduce a noise in the temporal change. When more than two people are detected, those detected regions are divided into each label to represent an individual person. Secondly, the detected region is segmented as features for correspondence by a criterion with the color distribution and context information of human body. The segmented region is represented as a set of blobs. Each blob is described as Gaussian probability distribution, i.e., a person model is generated from the blobs as a Gaussian Mixture Model (GMM). Finally, a GMM of each person from a camera is matched with the model of other people from different cameras by maximum likelihood. From those results, we identify a same person in different view. The experiment was performed according to three scenarios and verified the performance in qualitative and quantitative results.

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References

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