Smart phone based indoor positioning has great potential usage in LbS (Location based Service) applications, due to the abundant sensors embedded in smart phones. This paper proposed a hybrid positioning method, which adopted a particle filter to fuse three types of independent positioning results, including image matching positioning result, WiFi fingerprinting results and PDR positioning results, which achieve continuous and accurate positioning results. According to real scenario experiments, the proposed method has an accuracy improvement of about 48%, 24% and 4% over pure PDR, WiFi fingerprinting and image matching based methods. Compared with classical WiFi and image matching fusion method, our method can provide a decrease of 92% average positioning time. Compared with another classical fusion method, the accuracy has increased by 0.7 m and the positioning time has decreased by 87%.