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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.5 No.1
- 발행연도
- 2005.3
- 수록면
- 46 - 51 (6page)
이용수
초록· 키워드
오류제보하기
Intelligent Space(ISpace) is the space where many intelligent devices, such as computers and 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 present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions.
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-object tracking. Simulations are carried out to evaluate the proposed performance. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.
In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions.
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-object tracking. Simulations are carried out to evaluate the proposed performance. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.
목차
Abstract
1. Introduction
2. Vision Systems in Intelligence Space
3. Tracking moving objects
4. Experiments
5. Conclusion
References
참고문헌 (17)
참고문헌 신청
[학술지(정기간행물)] - / 2002. / Tracking with Probabilistic Appearance Models : 48 ~ 55
[학술지(정기간행물)] - / elsevier.2003. / Behavioural Dynamics for Pedestrians Moving through nets the physical and social dimensions of travel : 1 ~ 18
[학술지(정기간행물)] - / pp.265-280 / Intelligent Space -concept and contents no.3 : 2002 ~
[학술지(정기간행물)] - / 2001. / People tracking using hybrid Monte Carlo filtering In Proc. Int. Conf. Computer Vision ii
[학술지(정기간행물)] - / / Sequential Monte-Carlo Methods in Practice
[학술지(정기간행물)] - / elsevier.2003. / Behavioural Dynamics for Pedestrians Moving through nets the physical and social dimensions of travel : 1 ~ 18
[학술지(정기간행물)] - / pp.265-280 / Intelligent Space -concept and contents no.3 : 2002 ~
[학술지(정기간행물)] - / 2001. / People tracking using hybrid Monte Carlo filtering In Proc. Int. Conf. Computer Vision ii
[학술지(정기간행물)] - / / Sequential Monte-Carlo Methods in Practice
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UCI(KEPA) : I410-ECN-0101-2009-028-014851775