To reduce the influence of complex environment like illumination variation, appearance change and partial occlusion during the object tracking in the sequence images, a hybrid particle filter tracking method based on global and local information is proposed. The local binary patterns (LBP) textual feature is introduced into the particle filter algorithm. Through sparse coding target sub-block, the local information is fully used, and the global information is taken into account to determine the position of target in the current frame. During the tracking, the robustness of the tracking algorithm is improved since the template is updated in real time. Experimental results show that the proposed tracking algorithm achieves good results in complex background.