원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.4 No.4
2011.12
pp.51-62
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The foreground detection can be utilized in tracking, segmentation or object recognition. The Local Binary Pattern (LBP) texture descriptor has been introduced for various purposes (e.g. texture classification, image indexing) and a foreground detection use is presented in this paper. Experiments on image sequences prove that the proposed algorithm, compared with other existing state of the art methods, achieves notable performance and computation speed.
목차
Abstract
1. Introduction
2. Proposed Method
2.1. Detect global scene changes
2.2. New LBP Operator
2.3. Model Update on Pixel Basis
2.4. Markov Random Field
3. Parameter Selection
4. Experiments
5. Conclusion
References
1. Introduction
2. Proposed Method
2.1. Detect global scene changes
2.2. New LBP Operator
2.3. Model Update on Pixel Basis
2.4. Markov Random Field
3. Parameter Selection
4. Experiments
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보