基于Hausdorff距离的目标跟踪方法研究

Target Tracking Algorithm Based on Hausdorff Distance

序列图像中的运动目标跟踪是计算机视觉的一个重要组成部分,跟踪算法的鲁棒性和计算量是算法的关键。对上述问题进行研究,提出了一种基于Hausdorff距离的目标跟踪方法。该算法结合运动检测和多分辨率技术,极大减少了计算量,并利用有效的模板更新方法,加强了跟踪的鲁棒性。实验表明,该算法能实现快速有效的目标跟踪。

Target tracking is an important component of computer vision, in which robustness and computation burden are the key points. A target tracking algorithm based on Hausdorff distance is analyzed here. The computation burden is reduced greatly by using techniques of motion detection and multiresolution. And through an efficient model updating method, it is more robust. Experiment results show that it may track targets efficiently and quickly through the algorithm.