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IMPLEMENTATION ARCHITECTURE FOR PERFORMING HIERARCHICAL MOTION ANALYSIS OF IMAGES IN REAL TIME

机译:实时执行图像分层运动分析的实现架构

摘要

First hardware means, comprising a given number ofprior-art image-pyramid stages (406-1, 406-n), together withsecond hardware means, comprising the same given number ofnovel motion-vector stages (416-1, 416-n), perform cost-effectivehierarchical motion analysis (HMA) in real time, with minimumsystem processing delay and/or employing minimum hardwarestructure. Specifically, the first and second hardware means, inresponse to relatively high-resolution image data from an ongoinginput series of successive given pixel-density image-data framesthat occur at a relatively high frame rate (e.g., 30 frames persecond), derives, after a certain processing-system delay, anongoing 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 eachpair of successive image frames.
机译:第一硬件装置,包括给定数量的现有技术的图像金字塔阶段(406-1、406-n),以及第二硬件装置,包括相同数量的新颖的运动矢量级(416-1、416-n),具有成本效益实时,最少的分层运动分析(HMA)系统处理延迟和/或使用最少的硬件结构体。具体地,第一和第二硬件装置在对正在进行的相对高分辨率图像数据的响应连续给定像素密度图像数据帧的输入序列发生在相对较高的帧速率(例如,每帧30帧第二),在经过一定的处理系统延迟后,得出连续给定像素密度矢量的连续输出序列以相同给定帧速率出现的数据帧。每个向量-数据帧指示每个图像之间发生图像运动对连续的图像帧。

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