Rectangular object tracking based on standard hough transform
Rectangular object tracking based on standard hough transform
复制标题
基于标准霍夫变换的矩形目标跟踪
DOI：
10.1109/robio.2009.4913326
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
J. Jeon
中科院分区：
文献类型：
--
作者：
T. Nguyen;X. Pham;J. Jeon
目标跟踪在计算机视觉中具有重要意义。关于这个问题已经发表了许多研究论文。很少有参考文献涉及跟踪形状的物体通过霍夫变换存在。提出了一种基于标准Hough变换的矩形目标跟踪方法。我们的方法的工作原理通过应用Canny边缘检测器的源图像获得的边缘图像。然后，基于标准Hough变换和矩形的相关条件提取边缘图像中的矩形对象。然后，我们将感兴趣区域移动到跟踪对象的新位置，并继续在连续帧中检测矩形。我们的技术可以在实时运行，由于其计算时间短，简单。
Object tracking in computer vision is important. Numerous research papers have been published about this problem. Few references relating to tracking shaped objects via the Hough Transforms exist. This paper provides a method based on the Standard Hough Transform to track rectangular objects. Our method works on edge images obtained by applying the Canny edge detector to the source image. The rectangular object in the edge image is then extracted based on the Standard Hough Transform and related conditions of the rectangle. Afterwards, we shift the region of interest to the new position of the tracked object and continue to detect the rectangle in successive frames. Our technique can be run in real-time due to its low computation time and simplicity.
影响因子：
4.7
作者：
Nummiaro, K;Koller-Meier, E;Van Gool, L
通讯作者：
Van Gool, L
影响因子：
22.7
作者：
DUDA, RO;HART, PE
通讯作者：
HART, PE