摘要
当目标尺度发生变化时,传统均值漂移跟踪因窗口尺寸不变导致跟踪目标丢失.为解决该问题,提出一种带宽自适应的均值漂移跟踪算法.该算法在均值漂移框架下提取目标的形状特征,根据目标形状变化自适应的修正核函数带宽,并更新目标模板.实验结果表明,改进算法能很好地适应尺寸变化的目标,能有效提高红外目标的跟踪准确度.
For the fixed-bandwidth windows, the tracking target will be lost in traditiona[ mean shift algorithm with target scale changed. To solve this problem, an adaptive-bandwidth mean shift tracking algorithm was proposed. The shape features were extracted under the algorithm in the framework of mean shift, the bandwidth was adjusted adaptively based on target shape motions, and the target template was updated. Experimental results indicate that the proposed algorithm can track the target with scale changed and improve the target tracking precision effectively.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2014年第5期183-185,共3页
Acta Photonica Sinica
基金
国家自然科学基金(No.61101199)资助
关键词
红外
图像处理
均值漂移
海面目标
目标跟踪
带宽
形状特征
自适应
Infrared
Image processing
Mean shift
Sea targets
Target tracking
Bandwidth
Shapecharacteristics
Adaptive
