학술논문
Research on Background Extraction of Dynamic Video
Document Type
Article
Text
Text
Author
Source
International Journal of Hybrid Information Technology, 10/30/2015, Vol. 8, Issue 10, p. 289-298
Subject
Language
영어(ENG)
ISSN
1738-9968
Abstract
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.