Fast global motion estimation and moving object extraction algorithm in image sequences  

图像序列中快速全局运动估计和运动目标提取算法(英文)

作　　者：张涛[1] 费树岷[1] 李晓东[1] 路红[1] 

机构地区：[1]东南大学复杂工程系统测量与控制教育部重点实验室,南京210096

出　　处：《Journal of Southeast University(English Edition)》2008年第2期192-196,共5页东南大学学报（英文版）

基　　金：The National Natural Science Foundation of China(No.60574006)

摘　　要：A novel and effective approach to global motion estimation and moving object extraction is proposed. First, the translational motion model is used because of the fact that complex motion can be decomposed as a sum of translational components. Then in this application, the edge gray horizontal and vertical projections are used as the block matching feature for the motion vectors estimation. The proposed algorithm reduces the motion estimation computations by calculating the onedimensional vectors rather than the two-dimensional ones. Once the global motion is robustly estimated, relatively stationary background can be almost completely eliminated through the inter-frame difference method. To achieve an accurate object extraction result, the higher-order statistics （HOS） algorithm is used to discriminate backgrounds and moving objects. Experimental results validate that the proposed method is an effective way for global motion estimation and object extraction.提出了一种基于边界灰度投影匹配的全局运动估计和运动目标提取算法.算法将边界灰度水平投影和垂直投影值作为匹配特征,较好地估计了全局运动参数.由于只需计算一维特征向量所以降低了全局运动估计的计算量.经过全局运动补偿后,可以运用传统的帧间差法得到运动目标.为了减少噪声的影响,准确地提取到目标,采用了高阶统计量的方法(HOS)来区分背景和运动目标.试验结果证明所提出的方法在估计全局运动参数和提取运动目标方面有较好的鲁棒性.

关 键 词：global motion estimation edge projection higherorder statistics moving object extraction 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]