We address the issue of continuous tracking of the target in an environment covered by multiple cameras. In such a scenario, target handoff is a key problem. In this paper, we propose a novel target handoff method based on appearance model inheriting and learning. The appearance model is initially learned by sparse representation using the tracking results in the first camera. The next camera inherits the appearance model for target handoff and updates it after getting the whole tracking results. Then, the appearance model is transferred to the following camera. By the appearance model inheriting and learning, the appearance model can describe the target more and more precisely, which will make the target handoff more accurately and effectively. We also demonstrate the performance of our method on several video surveillance sequences.
목차
Abstract 1. Introduction 2. Related Work 3. Target Handoff with Appearance Model Inheriting and Learning 3.1. Appearance Model based on Sparse Representation 3.2 Appearance Model Inheriting for Target Handoff 3.3 Appearance Model Learning 4. Experimental Results 4.1 Target Handoff between Two Cameras 4.2 Target Handoff in Three Cameras 5. Conclusion References
키워드
Multi-camera trackingTarget handoffAppearance model
저자
Wenhui Dong [ College of Physics and Electronic engineering, Dezhou University, Dezhou 253023, China ]
Peishu Qu [ College of Physics and Electronic engineering, Dezhou University, Dezhou 253023, China ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7 No.5