According to the key technique influencing the particle filter, a Gassian mixture particle filter for non-rigid object tracking is presented. 针对影响粒子滤波算法性能的关键技术，提出了基于混合高斯模型的粒子滤波算法，并将其用于基于颜色的非刚性目标的实时跟踪相关问题。
The experimental results show that the proposed model can effectively cope with the inaccurate updating problem in the Gaussian mixture model due to the fixed update rate. 实验结果表明，该模型能较好地处理混合高斯模型因采用同一更新速率导致的背景模型更新错误问题。
