首页|期刊导航|高技术通讯（英文版）|Super resolution reconstruction of moving objects from low resolution surveillance video
高技术通讯（英文版）2008，Vol.14Issue(2)：123-128,6.
Super resolution reconstruction of moving objects from low resolution surveillance video
Super resolution reconstruction of moving objects from low resolution surveillance video
摘要
Abstract
Construction of high resolution images from low resolution sequences having rigid or semi-rigid objects with unified motions is often important in surveillance and other applications. In this paper a novel object-based super resolution reconstruction scheme was proposed, in which a six-parameter affine model-based object tracking and registration method was first used to segment and match objects among a sequence of low resolution frames. The motion model was then further extended to the traditional maximum a posterior (MAP) super resolution algorithm. The proposed object tracking and registration method was evaluated by both simulated and real acquired sequences. The results have demonstrated the high accuracy of the proposed object based method and the enhanced reconstruction performance of the extended approach.关键词
super resolution reconstruction/visual surveillance/maximum a posterior (MAP)/affine model/motion estimationhnology for providing part of the test sequencesKey words
super resolution reconstruction/visual surveillance/maximum a posterior (MAP)/affine model/motion estimationhnology for providing part of the test sequences分类
信息技术与安全科学引用本文复制引用
Wang Suyu ,Shen Lansun,David Daganfeng,Li Xiaoguang..Super resolution reconstruction of moving objects from low resolution surveillance video[J].高技术通讯（英文版）,2008,14(2):123-128,6.基金项目
Supported by the National Natural Science Foundation of China (No. 90304001, 60472036), the Beijing Natural Science Foundation (4052007), the National Key Lab of Communication Foundation, UEST, China (51434050105QT0101), and the PolyU/UGC grants (B-Q698). （No. 90304001, 60472036）
