Various algorithms based on image processing techniques have been used to detect and track objects in video surveillance systems. In this paper, followed by color RGB for multiple objects is present. To do this, real-time tracking algorithm is proposed for objects navigate and identify current positions and movements, because each object has a color with label on top. RGB color space is used to calculate the threshold values of each color. It is for example, video surveillance applications where cameras and other sources of information are used to monitor the activities of a sensitive site. Threshold values can be defined according to the object to track. Linear model is applied to the color discrimination. To remove unwanted objects to executives, morphological transformation is applied on the image binary and technical Blob analysis is then used to facilitate the detection of object. Our proposed algorithm is capable of tracking objects in the format full-frame (640 x 480 pixels) at rate (50 images per second). High performance robustness and in real time is confirmed by experiments.
목차
Abstract 1.Introduction 2. Related Work 3. RGB Color Space 4. Proposed Algorithm 5. Experimental Results 6. Conclusion and Future Work References
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.9 No.4