In video tracking,target detection and target tracking can not be implemented by an algorithm synchronously,so the image processing is complex and processing time is very long.To implement the target detection and target tracking of sequential color images in real time,a target tracking algorithm was presented based on a particle filtering in this paper.By taking the target information and target positions as the variables,a hybrid valued sequential state vector is established,and the target detection and the target tracking are implemented synchronously by using the particle filtering method.Moreover,in order to reduce process time,the color-based feature histogram is presented based on the pixel position weight in tracking fields as an observing vector,and then it is used in the posterior estimation successfully.Experimental results indicate that a target can be detected and tracked synchronously in 14.37 ms by using 150 particles for a color image with a size of 768 pixel× 576 pixel.Obtained results also prove that the method has higher robustness due to its stable tracking state in the rotation and scalar change of the target.%视频跟踪中的目标检测和目标跟踪通常不能通过一个算法同时完成,而是需要两个计算法则,过程复杂,耗时较多.为了实现序列彩色图像的实时检测与跟踪,本文提出了一种基于粒子滤波的实时目标跟踪算法.以目标有无信息和目标位置信息为变量建立了联合状态向量,利用粒子滤波方法实现目标检测及跟踪.为了减少计算量,在充分考虑跟踪区域各像素权重的条件下,建立基于颜色信息的特征直方图作为观测向量,并用于后验估计.实验表明,本文提出的方法在选择150个粒子的情况下,对于768 pixel×576 pixel大小的彩色图像,能够在14.37 ms内检测并跟踪目标,而且能在目标发生旋转变化和尺度变化时,保持稳定跟踪,证明了该方法具有一定的鲁棒性.
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