公开(公告)号：US4220967A

公开(公告)日：1980-09-02

申请号：US727101

申请日：1976-09-27

申请人： LeRoy F. Ichida ,  Robert A. Sturla ,  Jacob M. Sacks

发明人： LeRoy F. Ichida ,  Robert A. Sturla ,  Jacob M. Sacks

IPC分类号： G01S3/786 ,  H04N7/18

CPC分类号： G01S3/7865

摘要： A scene tracker for use with imaging or quasi-imaging sensors such as TV cameras, FLIRS, millimeter-wave scanners, or the like is disclosed. Specifically, the invention is concerned with a form of correlation tracking. At the start of a track mode, part or parts of a scene are stored in a memory. Every subsequent video scan is then compared with the scene or parts of the scene stored in memory to find the "best match" between live data and stored data. This process generates signal output proportional to horizontal and/or vertical translations of the scene. Besides pure translation, the disclosed scene tracker is capable of tracking an original aim point in the presence of scene rotation, scene growth (zooming), scene reduction (dezooming), distortion, and/or partial scene obscuration. Special novel features of the invention include a multi-cell correlation principle; a novel method of computing and storing correlation functions for each cell; a method to derive weighted average displacements for the entities of all cell correlations; and a novel video signal processing technique.

摘要翻译： 公开了一种用于与诸如电视摄像机，FLIRS，毫米波扫描器等的成像或准成像传感器一起使用的场景跟踪器。 具体地，本发明涉及相关跟踪的形式。 在轨道模式开始时，场景的部分或部分存储在存储器中。 然后将每个后续视频扫描与存储在存储器中的场景或场景的部分进行比较，以找到实况数据和存储数据之间的“最佳匹配”。 该过程产生与场景的水平和/或垂直平移成正比的信号输出。 除了纯粹的翻译之外，所公开的场景跟踪器能够在存在场景旋转，场景增长（缩放），场景减少（dezooming），失真和/或部分场景遮蔽的情况下跟踪原始目标点。 本发明的特殊新颖特征包括多小区相关原理; 一种计算和存储每个单元的相关函数的新方法; 导出所有细胞相关实体的加权平均位移的方法; 和一种新颖的视频信号处理技术。