원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.8
2016.08
pp.417-424
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
With the development of information technology, in particular, to improve the video and image processing technology, intelligent video surveillance system collected data can be used to extract the relevant information on the vehicle for life and related investigations provided for convenience. Since the acquisition by the light, angle, and the impact of weather, so that the video data is difficult to retrieve, for this problem, this paper presents a background model fusion method can effectively eliminate the adverse weather light and other factors. This algorithm can quickly and efficiently and with high accuracy to detect vehicle information.
목차
Abstract
1. Introduction
2. Related Works
3. Moving Target Detection and Background Extraction Algorithm Analysis
3.1. Moving Object Detection Algorithm
3.2. Common Background Extraction Algorithm
4. Background Modeling Method based on Fusion Research
4.1. Background Modeling Algorithm
4.2. The Experiment Results Analysis
5. Conclusion
References
1. Introduction
2. Related Works
3. Moving Target Detection and Background Extraction Algorithm Analysis
3.1. Moving Object Detection Algorithm
3.2. Common Background Extraction Algorithm
4. Background Modeling Method based on Fusion Research
4.1. Background Modeling Algorithm
4.2. The Experiment Results Analysis
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보