计算机工程Issue(1)：228-231,235,5.DOI:10.3969/j.issn.1000-3428.2014.01.048
基于灰度触发的Mean Shift自动跟踪算法
Mean Shift Automatic Tracking Algorithm Based on Gray Triggering
摘要
Abstract
In order to achieve the automatic tracking of vehicles in road traffic, this paper proposes a mean shift tracking algorithm based on gray triggering. It detects the targets using a modified Gaussian mixture model to reduce the influences of the target detection caused by sudden changes of light. Thereby it guarantees the minimum gray interference on triggered areas. This algorithm designs a trigger method based on changes of the gray degree in virtual region. By capturing the local peak gray value in the triggered area, this method expends target search area to lock the moving vehicles and thereby achieves the Mean Shift tracking in which the kernel function adjusts its width automatically. Experimental result shows that this method achieves automatic trigger tracking efficiently and accurately, has high trigger accuracy and good practical value.关键词
运动目标检测与跟踪/混合高斯模型/灰度触发/Mean Shift算法Key words
movement target detection and tracking/mixture Gaussian model/gray triggering/Mean Shift algorithm分类
信息技术与安全科学引用本文复制引用
喻旭勇,王直杰..基于灰度触发的Mean Shift自动跟踪算法[J].计算机工程,2014,(1):228-231,235,5.基金项目
国家自然科学基金资助项目(61075105) （61075105）
