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分块特征匹配与局部差分结合的运动目标检测
引用本文:王洪斌,于菲,李一骏,王跃灵.分块特征匹配与局部差分结合的运动目标检测[J].计量学报,2015,36(4):352-355.
作者姓名:王洪斌  于菲  李一骏  王跃灵
作者单位:燕山大学 河北省工业计算机控制工程重点实验室, 河北 秦皇岛 066004
基金项目:国家自然科学基金(61473248);河北省自然科学基金
摘    要:针对摄像机在运动情况下运动目标检测问题的研究,提出了一种尺度不变特征变换图像分块特征匹配和局部差分算法相结合的运动目标检测方法。该方法不仅可以减少图像配准参数求解所需要的时间,弥补全局运动补偿对图像完整性的影响,并且可以在摄像机运动的情况下准确地检测出运动目标。 实验证明了该方案的有效性。

关 键 词:计量学  目标检测  图像分块  尺度不变特征变换  图像配准  局部差分  

Detection of Moving Object by Combining Block Features Matching and Local Differential
WANG Hong-bin,YU Fei,LI Yi-jun,WANG Yue-ling.Detection of Moving Object by Combining Block Features Matching and Local Differential[J].Acta Metrologica Sinica,2015,36(4):352-355.
Authors:WANG Hong-bin  YU Fei  LI Yi-jun  WANG Yue-ling
Affiliation:Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
Abstract:To investigate the moving objects in the situation of camera moving, a method that combines the scale invariant feature transform block feature matching with the local differential algorithm is proposed. The method can not only reduce the cost time of image registration and compensate the global motion compensation, which effects on the integrity of the image, but also detect moving objects accurately. Finally, the experiment results can provide its effectiveness.
Keywords:Metrology  Object detection  Image blocking  Scale invariant feature transform  Image registration  Local differential algorithm
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