Moving target detection using C_SURF registration
Hu Liu, Qingquan Li, Chunxian Gao, Zhe Zeng, 刘慧, 高春仙 · Wuhan Daxue xuebao. Xinxi kexue ban · 2014
Due to the high mobility,rapid deployment and a wide range of monitoring,vehicle detection and tracking system based on low-level mobile platform attract more and more attention.Cameral self-motion,outside interference and other reasons caused by low altitude mobile platforms impact the performance of traditional vehicle detection algorithms.To resolve the above problems,a new method on improved SURF color image stabilization is presented in this paper.From the experimental results,we can see,firstly,compared to other methods,the method proposed by the paper can achieve vehicle detection performance;secondly even in a complex background environment,the method in this paper can effectively detect moving vehicles.