欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为解决尺度变化的目标跟踪问题，借助于对数极坐标变换良好的尺度旋转不变性，提出一种基于椭圆对数极坐标变换域下目标跟踪算法。算法利用一种显著性加权的 Mean Shift 进行空间定位，进而将目标区域变换到椭圆对数极坐标系下并沿尺度轴进行积分，通过一维的最大相关匹配确定目标的尺度参数。实验结果表明，该算法不仅空间跟踪误差较低，而且能够较稳定地适应目标尺度变化，具有较好的鲁棒性。
英文摘要：
Taking advantage of the invariant characters for translation and rotation of the Log-polar transformation,a scale tracking method based on the ellipse log-polar transform was investigated to resolve the problem of scale change object tracking. Firstly,a saliency weighted mean shift was presented to locate the object＆#39;s spatial orientation,then the candidate object region was translated to the ellipse log-polar transformation and integrated along the scale axis. The new proposed method estimated the target＆#39;s scale parameters according to the maximum correlation coefficient in the transform domain. Experimental results demonstrated that the algorithm could adapt to the object＆#39;s scale changes and the tracking error was lower. Compared with the traditional,it had a better robustness.
同期刊论文项目
同项目期刊论文
期刊信息
位置：