摘要
目标搜索的关键在于捕获到感兴趣的目标。在复杂背景下,利用灰度特征、区域特征、纹理特征难以对目标进行有效搜索,而运动特征是可利用的有效特征。提出了一种基于运动矢量分类的扩展目标搜索算法,将前一帧图像均匀分块,对每块在其周围与当前帧图像块匹配,得到每块的运动矢量,依据目标块与背景块的运动方向差异剔除背景块,再依据目标块的集中性及其运动矢量的相等特性提取目标块,目标块中心的平均即为目标的近似形心。实验表明,该方法能够有效地对复杂背景下扩展目标进行搜索。
The key issue to target searching is to capture the interested target. In complex background, those features, such as gray scale, region, texture and shape, can hardly be used to search the moving object efficiently. A method for searching extended target was proposed, based on labeling the motion vectors, in this method, the former frame was separated into a number of blocks evenly. Block matching was computed to each block at its entourage in the current frame, and the motion vector of the block was achieved through searching the best match. The background blocks were eliminated based on the motion direction differences between the target blocks and the background blocks, and then the target blocks were achieved based on the integrity of them and the equality of their motion vectors. The mean of the center of the target blocks was the center of the target. Experiments show that the algorithm works efficiently in search for extended target in complex background.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2006年第11期13-16,92,共5页
Opto-Electronic Engineering
基金
国家高技术资助预研项目
关键词
复杂背景
扩展目标
块匹配
运动矢量
目标捕获
Complex background
Extended target
Block matching
Motion vector
Target acquisition
