The bandwidth of kernel function is invariance in Mean-Shift tracking process which led to the problem of actual process of tracking failure. To solve this question a method is proposed to combine object contour, RGB color histogram and Mean-Shift tracking algorithm. In each frame the contour and color feature of target object are extracted to as a model. Meanwhile the size of contour is used as the bandwidth for kernel function in the next frame. Based on this Method the accuracy of Mean-Shift tracking is improved and the error of Mean-Shift tracking is reduced.
목차
Abstract 1. Introduction 2. The Improvement of Overall Scheme 3. Establish the Mathematical Model of Tracked Target 4. Target Tracking Algorithm of Mean-Shift based on the Variable of Kernel Function Window for Bilateral Filtering Detection 4.1. The Method for Determining the Bandwidth of Mean-Shift Kernel Function based on Bilateral Edge Detection Filtering 4.2. The Target Tracking of Mean-Shift Algorithm 4.3. Similarity Metric Coefficient between Tracked Target and Candidate Target 4.4. Position the Tracked Target in Subsequent Frames 5. Experimental Result 6. Conclusions Acknowledgements References
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
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 Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.9 No.2