中文摘要：

针对复杂情况下变尺度目标跟踪问题．提出一种基于粒子滤波的白适应尺度目标跟踪算法．根据参考目标的颜色分布，将参考目标分为多个区域，每个区域的颜色分布用高斯模型表示，区域的位置荚系构成了对参考目标的空间约束；根据目标分割区域的颜色分布和空间约束关系构造目标外观模型。结合粒子滤波搜索目标位置并检测目标的尺度变化．目标外观模型同时包含了空间及颜色信息．提高了跟踪算法在复杂情况下检测目标尺度变化的可靠性和准确性．实验结果表明，该算法在目标具有明显尺度变化、姿态改变和部分遮挡的情况下，可以获得准确和鲁棒的跟踪结果．

英文摘要：

To track objects with scale changes in a complex scene, a particle filter based object tracking approach is proposed in this paper. The approach partitions the reference object into several sub-regions by clustering in color space, then the color distribution of each sub-region is modeled as Gaussian, and its location constitutes the spatial constrain on the layout of the object. The reference model is built from he color distribution and spatial relation of the sub-regions. The reference model is integrated into the particle filtering to search for the object location and detect the scale change of the object. The reliability of detecting the scale change of the object in a complex scene is improved thanks to the usage of both spatial and color information. Experimental results show that the proposed tracking approach is robust and effective to scale changes, pose variance and partial occlusions.