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Implementation architecture for performing hierarchical motion analysis of images in real time

机译:用于实时执行图像的分层运动分析的实现架构

摘要

First hardware means, comprising a given number of prior-art image-pyramid stages (406-1, 406-n), together with second hardware means, comprising the same given number of novel motion-vector stages (416-1, 416-n), perform cost-effective hierarchical motion analysis (HMA) in real time, with minimum system processing delay and/or employing minimum hardware structure. Specifically, the first and second hardware means, in response to relatively high-resolution image data from an ongoing input series of successive given pixel-density image-data frames that occur at a relatively high frame rate (e.g., 30 frames per second), derives, after a certain processing-system delay, an ongoing output series of successive given pixel-density vector-data frames that occur at the same given frame rate. Each vector-data frame is indicative of image motion occurring between each pair of successive image frames. IMAGE IMAGE
机译:第一硬件装置,包括给定数量的现有技术图像金字塔级(406-1、406-n),以及第二硬件装置,包括相同给定数量的新颖运动矢量级(416-1、416-n) n),以最小的系统处理延迟和/或使用最小的硬件结构实时执行具有成本效益的分层运动分析(HMA)。具体地,第一和第二硬件装置响应于来自以相对高的帧速率(例如,每秒30帧)出现的连续的给定连续的给定像素密度图像数据帧的输入序列的相对高分辨率的图像数据,在一定的处理系统延迟之后,得出以相同给定帧速率出现的连续给定像素密度矢量数据帧的连续输出序列。每个向量数据帧指示在每对连续图像帧之间发生的图像运动。 <图像> <图像>

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