원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.10
2015.10
pp.289-298
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
As for heavy traffic, road congestion and the hard extraction of vehicles in dynamic video, an improved method of dynamic video background updating is proposed. By using frame-to-frame differences and mask technology, the hole of difference image is eliminated, then extracts the reliably initial background. The image is segmented by using double threshold based on the combination of Bacterial Foraging Optimization Algorithm and Otsu Algorithm to improve the effect and reliability of background updating. Experiments shows that it is an effective way that is good in speed and effective in background extraction, and provides a good foundation for further study of the vehicle tracking.
목차
Abstract
1. Introduction
2. The Generation of Initial Stable Background
2.1 The Selection of Initial Background Video
2.2 Improved Method for Background Extraction
2.3 The Initial Background Generation Algorithm
3. Dynamic Background Update
3.1 Dynamic Background Update Tactics
3.2 The Dual Threshold Value Image Segmentation
3.3 Dealing with Global Background Mutation Strategies
4. Results and Analysis
5. Conclusion
ACKNOWLEDGEMENTS
References
1. Introduction
2. The Generation of Initial Stable Background
2.1 The Selection of Initial Background Video
2.2 Improved Method for Background Extraction
2.3 The Initial Background Generation Algorithm
3. Dynamic Background Update
3.1 Dynamic Background Update Tactics
3.2 The Dual Threshold Value Image Segmentation
3.3 Dealing with Global Background Mutation Strategies
4. Results and Analysis
5. Conclusion
ACKNOWLEDGEMENTS
References
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