摘要
ORB匹配算法具有匹配效果好,速度快等特点,应用于智能交通系统中能够达到实时性要求。然而,当天气较为恶劣或视频光线较暗时,匹配效果并不是很理想,容易出现较多的误匹配点。为了解决ORB匹配存在的问题,在ORB匹配前,对序列视频图像进行逐帧的MSR增强处理,并引入模糊概念改善由于MSR引起的色彩失真,然后再对增强后的图像进行ORB匹配,将该算法应用于云南省某高速公路的隧道监控视频中取得了较好的效果,证明了该算法的有效性。
ORB has advantages of good matching and high speed, and it matches the acquirement of real-time when applied in the intelligent transportation system. While, the matching result is not so good and the mismatching points will increase when the weather is bad or the lighting is poor. To solve this problem, the series image should be enhanced by multi scale retinex （MSR） frame by frame before ORB matching, and the concept fuzzy is introduced to solve the color inconsistency caused by MSR. Then matching the enhanced images by ORB. This algorithm is applied to one tunnel surveillance video of expressway in Yunnan province, and it has obtained a good result which has proved the effectiveness of this algorithm.
出处
《计算机与应用化学》
CAS
2016年第2期183-186,共4页
Computers and Applied Chemistry
基金
国家自然科学基金资助项目(51169007)
云南省科技计划项目(2013DH034)
云南省中青年学术和技术带头人后备人才培养计划项目(2011CI017)
