基于边缘方向分布和粒子滤波的视频目标跟踪

Video object tracking based on edge orientation distribution and particle filter

针对背景复杂的非线性视频运动目标,提出了一种基于边缘方向分布和粒子滤波技术相结合的跟踪方法。该方法利用边缘算子获取目标区域边缘方向图,采用高斯核函数建立目标区域边缘方向分布,结合粒子滤波理论,实现对非线性视频运动目标的有效跟踪。计算机仿真结果表明,该方法可对非线性、非高斯的运动目标进行有效的跟踪,且在跟踪目标区域与背景颜色接近,背景复杂的场景下,与采用灰度特征的方法相比,有较强的鲁棒性和较高的跟踪精度。

This paper presents a new target tracking algorithm based on the particle filter and the edge orientation distribution to track video moving targets whose trajectoly is nonlinear and in complicated backgrounds.The edge orientation image in target area is obtained by edge operator and the edge orientation distribution is established by Gaussian kernel.The edge orientation distribution is used as the characteristic to fuse with the particle filter to complete tracking for non-linear video moving target.The computer simulations show that the presented method can track the non-linear and non-Gaussian moving target in the complicated backgrounds effectively,and has a better performance compared with the method based on gray distribution.