Earticle

초록

영어

The Robotic Space is able of obtaining information from the observed world where many intelligent sensing and tracking devices, such as computers and multi sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we suggest a method for representing, tracking and human following by fusing distributed multiple vision systems in Robotic Space. And the article presents the integration of color distributions into SOM(Self Organizing Map) based particle filtering. We propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-motion tracking. Experiments are carried out to evaluate the proposed performance.

목차

Abstract
 1. Introduction
 2. Robotic Space
  2.1. Sensor system
  2.2. Previous Research for Tracking
 3. Extraction Process of Objects
 4. Tracking of Moving Objects
  4.1. State-space over the top-view plan
  4.2. Object Modeling and Estimation
 5. Experiments
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Taeseok Jin [ Dept. of Mechatronics Engineering, Dongseo University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605