The whole tracker is regarded as a multiple memory system model.An ex tended memory system model based intelligent tracker with correlation filtering is presented in this paper. Firstly,short-term filter is generated by extracting the target features,and short-term memory is generated.Secondly,t he repeated and updated short-term memory of each frame produces long-term memory,and long-term filter is genera ted.Short-term and long-term memory constitute the memory system model with correlation filtering.By analyzi ng and mining the filter data in the modal,four intelligent control information is added into the model,which e xtends the model to achieve intelligent and efficient target tracking.The extended memory system model base d tracker used the principle of biological memory to make target tracking more automatic and intelligent,which improved the accuracy of target tracking.Experimental results show that the proposed algorithm improves the ant i-interference,anti-occlusion and anti-deformation of target tracking,and ensures the effectiveness of scale tra cking.