摘要
在多摄像机视频监控系统中,图像之间的视点对应以及目标的交接是重要的研究内容。不需要标定摄像机的参数,该文提出了一种利用尺度不变特征变换(SIFT:scale-invariant features transform)及融合颜色信息的投影不变量实现目标交接的方法。利用SIFT方法自动生成图像间匹配的特征点对,并由此生成视野分界线,然后利用融合颜色信息的投影不变量方法完成对多摄像机之间目标身份的确认。
In the multi-camera surveillance system,object handoff between two images and handoff of objects is an important research content.In this paper,an algorithm was proposed that realizes object handoff by using scale-invariant features transform（SIFT）and projective invariants with color information,without knowing the camera calibration information.By using SIFT algorithm,matching points are automatically generated between two images and camera FOV lines are also obtained.Then,confirming the identity of the target between multi-cameras by using projective invariants with color information algorithm.
出处
《计算机与数字工程》
2012年第4期78-80,共3页
Computer & Digital Engineering
基金
预研基金项目(编号:T0775-041-3)资助
关键词
多摄像机间视点对应
目标交接
SIFT
投影不变量
视野分界线
perspective correspondence between multi-cameras
object handoff
SIFT
projective invariants
FOV lines
