Tracking objects in real time and exact tracking have long been challenging area in the field of computer vision. This paper describes a modified Continuously Adaptive Mean Shift (CAMshift) algorithm based on the Hue Saturation Value (HSV) color model for tracking an object in real time. The existing CAMshift can detect precisely when an object has a simple color. However, it has some disadvantages. When a CAMshift algorithm tracks an object, it does not consider direction and velocity, and it is difficult to track an object that has various colors and when the background contains color(s) similar to those of an object. In such case, CAMshift is worse than Meanshift. To overcome these disadvantages, a Kalman filter is used with CAMshift, as a Kalman filter can obtain direction vectors and it can make CAMshift exact, even under the aforementioned conditions.
목차
Abstract 1. Introduction 2. Related Theory 2.1. HSV Color Model 2.2. CAMshift 2.3. Kalman Filter 3. Proposed Method 4. Results 5. Conclusion Acknowledgments References
키워드
CAMshiftHSV color modelKalman FilterTracking
저자
Gi-Woo Kim [ RS-904 New Media Communications Lab, Dong-A univ. ,Busan ,Korea ]
Dae-Seong Kang [ RS-904 New Media Communications Lab, Dong-A univ. ,Busan ,Korea ]
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
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 Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.9 No.7