According to the key technique influencing the particle filter, a Gassian mixture particle filter for non-rigid object tracking is presented. 針對影響粒子濾波算法性能的關(guān)鍵技術(shù)，提出了基于混合高斯模型的粒子濾波算法，并將其用于基于顏色的非剛性目標的實(shí)時(shí)跟蹤相關(guān)問(wèn)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(shí)驗結果表明，該模型能較好地處理混合高斯模型因采用同一更新速率導致的背景模型更新錯誤問(wèn)題。
