In this paper, a moving target tracking method based on moment character and feature-optical-flow is proposed. The corner feature is firstly extracted for object matching, the matching strategy refers to Hu moment local matching method, then, a new feature-optical-flow clustering algorithm is presented to finish the clustering of two objects. Simulation results show that this method can improve the tacking accuracy while decreasing the computational burden. It also overcomes the track-lost problem when the object has a little deflexion.