基于序列图像的粒子滤波跟踪算法

基于序列图像的目标跟踪方法研究已成为当前计算机视觉领域的一个重要研究内容.构建一个准确、实时和鲁棒的跟踪系统是该领域的研究重点.本文提出了一种改进的基于粒子滤波器算法的快速目标跟踪方法.通过提取序列图像中目标的HSI颜色空间直方图作为目标模板,建立系统的状态转移模型和观测模型,应用重采样技术,最后利用粒子的加权和估计最终目标位置和形状.通过软件仿真实验,本文提出的算法较传统的目标跟踪算法具有更好的实时性,准确性和鲁棒性.

Particle filter tracking algorithm based on sequence image

The research of object tracking method based on sequence image has become an important content of computer vision field.An accuracy,real-time and robust tracking system is important in research.In this paper we offer an improved method of object tracking based on particle filter algorithm.We extract the object HSI color histogram as object template and construct system state transition model and observation model.We also use resample technology and finally estimate the position and shape of object using particles weighted sum.Through the software simulation,the algorithm described in this paper has better characteristics of real-time,accuracy and robust than conventional object tracking algorithm.