基于变形模板技术的目标轮廓跟踪算法  

Object Contour Tracking Algorithm Based on Deformable Templates

作　　者：柯海峰[1] 刘伟宁[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所

出　　处：《微电子学与计算机》2008年第6期197-200,共4页Microelectronics & Computer

摘　　要：为了适应目标旋转、尺度、场景光照等变化,利用B样条曲线表达目标轮廓,结合变形模板技术对运动目标的轮廓进行跟踪.在跟踪过程中,沿着模板曲线的法线方向检测目标轮廓,提高了检测效率.根据同一曲线上相邻点间的相关性,对检测所得的轮廓点集的坐标序列进行中值滤波,有效降低噪声干扰.将检测到的轮廓点集在形状空间匹配,使目标轮廓的形变限制在一定范围之内,有效抑制噪声和背景边缘特征的干扰.仿真试验表明,该算法能够有效得到目标轮廓,且具有较好的实时性.To adapting well to the rotation,scaling of the objects and variation of background illumination, in this paper we construct the contour of object using B-spline curves, and track the moving object using deformable templates in image sequence. When tracking, we detect the object contour along the template normals. And this method make the contour deteetion more fast. According to the correlation between the points nearby to each other and on the same curve, we use median filter to process the coordinates of the contour points, in order to reduce the disturbance of noise. Restricting the contour shape in shape space by shape matching can effectively reduce the disturbance of noise and backgrand edge. The results of the simulation show that this algorithm can obtain the contours efficiently and lastly.

关 键 词：B样条曲线 主动轮廓模型 变形模板 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]