비겹침 다중 IP 카메라 기반 영상감시시스템의 객체추적 프레임워크
Object Tracking Framework of Video Surveillance System based on Non-overlapping Multi-camera
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초록
다양한 감시 환경에서의 보안의 중요성이 대두됨에 따라 여러 대의 카메라로 움직이는 물체를 연속적으로 추적하는 시스템에 대한 연구가 활발히 진행되고 있다. 본 논문은 물체를 연속적으로 추적하기 위해 비겹침 다중 카메라 기반의 영삼감시시스템을 제안한다. 제안된 다중 IP 카메라 기반 객체추적 기술은 장치 간 hand-off 기술 및 프로토콜을 바탕으로 객체추적 모듈과 추적관리 모듈로 구성된다. 객체추적 모듈은 IP 카메라에서 실행되며 객체추적 정보 생성, 객체추적 정보 공유, 객체추적 정보를 이용한 객체 검색 및 모듈 내 설정 기능을 제공하고, 추적관리 모듈은 영상관제 서버에서 실행되며 객체추적 정보 실시간 수신, 객체추적 정보 검색, IP 카메라 컨트롤 기능을 제공한다. 본 논문에서 제안한 객체추적 기술은 다양한 감시 환경과 기술 방법에 의존하지 않는 범용적 프레임워크를 제안한다.
Abstract
Growing efforts and interests of security techniques in a diverse surveillance environment, the intelligent surveillance system, which is capable of automatically detecting and tracking target objects in multi-cameras environment, is actively developing in a security community. In this paper, we propose an effective visual surveillance system that is avaliable to track objects continuously in multiple non-overlapped cameras. The proposed object tracking scheme consists of object tracking module and tracking management module, which are based on hand-off scheme and protocol. The object tracking module, runs on IP camera, provides object tracking information generation, object tracking information distribution and similarity comparison function. On the other hand, the tracking management module, runs on video control server, provides realtime object tracking reception, object tracking information retrieval and IP camera control functions. The proposed object tracking scheme allows comprehensive framework that can be used in a diverse range of application, because it doesn't rely on the particular surveillance system or object tracking techniques.
참고문헌 (15)
- R. Jain, "multiple perspective interactive video", IEEE International Conference on Multimedia Computing and Systems, pp.202~211 (1995)
- Q. Cai, "Tracking human motion in structured environments using a distributed camera system", IEEE Trans. Pattern Analysis and Machine Intelligence, 21(11), pp.1241~1247 (1999)
- O. Javed, "KNIGHTM: A real-time surveillance system for multiple overlapping and non-overlapping cameras", Proceedings of the 4th International Conference on Multimedia and Expo, pp.649~652 (2003)
- D. Makris, "Bridging the gaps between cameras", Proceedings of the IEEE Conference on computer vision and pattern recognition, pp.205~210 (2004)
- S. Khan, "Consistent labeling of tracked objects in multiple cameras with overlapping fields of view", IEEE Trans. Pattern Analysis and Machine Intelligence, 25(10), pp.1355~1360 (2003)
- Tae-Hyun Hwang, "Object Tracking for a Video Sequence from a Moving Vehicle: A Multi-modal Approach", ETRI Journal, 28(3), pp.367~370 (2006), 한국전자통신연구원
- T. Huang, "Object identification in a bayesian context", Proceedings of International Joint Conference on Artificial Inteligence, pp.1276~1283 (1997)
- V. Kettnaker, "Bayesian multi-camera surveillance", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.253~259 (1999)
- F. Porikli, "Inter-camera color calibration by correlation model function", Proceedings of the 2003 International Conference on Image Processing, 통권 : 3, pp.133~136 (2003)
- A. R. Dick, "A Stochastic Approach to Tracking Objects Across Multiple Cameras", LNAI, 3339, pp.160~170 (2004)
- O. Javed, "Tracking Across in Multiple Cameras with Disjoint Views", Proceedings of the IEEE International Conference on Computer Vision, pp.952~957 (2003)
- O. Javed, "Modeling inter-camera space- time and appearance relationships for tracking across non-overlapping views", Journal of Computer Vision and Image Understanding, 109(2), pp.146~162 (2008)
- C. Stauffer, "Learning to track objects through unobserved regions", Proceedings of IEEE Workshop on Motion, pp.96~102 (2005)
- T. Montcalm, "Object Inter-camera Tracking with Non-overlapping Views: A New Dynamic Approach", Proceedings of the 2010 Canadian Conference on Computer and Robot Vision, pp.354~361 (2010)
- A. Gilbert, "Incremental, scalable tracking of objects inter camera", Journal of Computer Vision and Image Understanding, 111(1), pp.43~58 (2008)
