摘要
传统均值漂移(Mean Shift)算法在目标快速运动且背景区域变化时易丢失跟踪目标。提出了一种基于背景权值的Mean Shift空中目标跟踪算法。该算法使用了背景权值直方图和背景模型更新,降低了背景区域对目标跟踪的影响。试验结果表明,在目标快速运动且背景区域变化时,该算法能准确跟踪目标并具有很好的鲁棒性。
The traditional Mean Shift algorithm is easy to lose target when the target is in rapid movement or the background is changing.A Mean Shift air target tracking algorithm based on a background weights is proposed.The algorithm uses the background weighted histogram and the background model updating to reduce the impact of the background on the target region.Experimental results show that when the target moves rapidly and the background changes,the proposed method can accurately track the target and has a good robustness.
出处
《指挥信息系统与技术》
2014年第6期22-26,共5页
Command Information System and Technology
关键词
目标跟踪
均值漂移
背景权值
target tracking
Mean Shift
background weights
