改进TLD算法在光电跟踪中的应用  

Improved TLD Approach Applied in Optoelectronic Tracking

作　　者：王建刚[1] 李醒飞[1] 陈诚[2] 谭文斌[2] 

机构地区：[1]天津大学精密测试技术与仪器国家重点实验室,天津300072 [2]天津商业大学机械工程学院,天津300134

出　　处：《红外技术》2015年第10期824-830,共7页Infrared Technology

基　　金：精密测试技术及仪器国家重点实验室开放基金资助项目;编号:PIL1407;天津市科技兴海项目;编号:KJXH2012-11

摘　　要：为满足光电跟踪系统图像跟踪抗遮挡、实时性的要求,提出了一种改进检测器和目标模型更新策略的TLD算法。首先,通过帧差法获得差分图像序列,其次,利用动态Otsu阈值对差分图像进行二值化处理,滤除背景差分像素,获取移动物体边界框,最后,产生局部滑动窗口,进行随机厥分类和最近邻分类;并且优化了目标模型更新策略。实验表明,对于分辨率为320×240的视频,改进算法较原算法跟踪速度提升比平均为1.50,满足系统的实时性要求;改进算法抗遮挡性能及在低对比度环境中的跟踪性能优于Mean-Shift算法,满足系统的抗遮挡要求。To meet the requirements of real-time and anti-occlusion tracking in optoelectronic tracking systems, an improved Tracking-Learning-Detection（TLD） approach with a modified detector and a modified strategy of module updating is proposed. Firstly, difference images are obtained by the difference between consecutive frames. Then, binary images are obtained by an adaptive Otsu threshold. As a result, difference pixels of background part are filtered and moving object bounding boxes are obtained from the binary images. Finally, local scanning-windows are generated for Ensemble Classifier and Nearest Neighbor Classifier. And the strategy of module updating is improved. The experimental results indicate that the average speedup per frame of the improved TLD approach reaches up to 1.50. Compared with the traditional TLD, the improved approach can meet system＇s real-time requirement tracking performance of the improved TLD approach under occlusions or in low contrast environment is better than the Mean-Shift approach, and the improved approach can meet system＇s requirement of anti-occlusion tracking.

关 键 词：TLD算法 光电跟踪 帧差图像 检测器 OTSU方法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]