According to the key technique influencing the particle filter, a Gassian mixture particle filter for non-rigid object tracking is presented. 針對影響粒子濾波演算法性能的關鍵技術，提出了基於混合高斯模型的粒子濾波演算法，並將其用於基於顏色的非剛性目標的實時跟蹤相關問題。
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. 實驗結果表明，該模型能較好地處理混合高斯模型因採用同一更新速率導致的背景模型更新錯誤問題。
