Enhancement of parallel predictive motion estimation methods by means of KALMAN filtering

被引：0

作者：

Pieper, M ^{[1
]}

Kummert, A ^{[1
]}

机构：

[1] Univ wuppertal, D-42119 Wuppertal, Germany

来源：

7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL IV, PROCEEDINGS: IMAGE, ACOUSTIC, SPEECH AND SIGNAL PROCESSING | 2003年

关键词：

parallel predictive motion estimation; KALMAN filter; image generation;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The main aspect of this paper is to present an upgrade of the parallel predictive motion estimation (ppme) algorithms discussed in [1]. This algorithm is used to increase the frame rate of computer-generated images. The vector field output of the block-matching, used in [1] is improved by means of KALMAN filter techniques [2]. Due to the necessity of many parallel working KALMAN filters used in this application, a special tracking mode of the classical KALMAN filter input data is required.

引用

页码：206 / 210

页数：5