权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Construction of a Parallel Vision System that Satisfies High Speed, Versatility and Scalability

构建满足高速、通用性和可扩展性的并行视觉系统

基本信息

批准号：
10555076
负责人：
MIZOGUCHI Hiroshi
金额：
$ 8.19万
依托单位：
Saitama University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-10555076/
关键词：
motion image processing parallel computer motion image memory action recognition behavior understanding PC cluster scalability real-time processing

项目摘要

Aim of this research is to realize such a novel parallel vision system that satisfies requirements of high speed, versatility, and scalability. Conventionally these requirements are incompatible each other. The authors have overcome the problem of incompatibility by augmenting Beowulf-class PC cluster with dedicated hardware for visual processing. Key idea is introduction of video bus. Not only a link for inter-processor communication, such as ethernet, but also a link for video data transfer(video bus)is introduced to the system. Because of the video bus, input video image is fed to each element PC of the cluster simultaneously without any time-wasting duplication of the input image. This feature guarantees continuous and high speed(video rate)processing. Versatility and scalability are obtained by the nature of Beowulf class PC cluster which consists of commodity hardware.At the first stage of the three years research plan the authors have implemented a prototype system that is based upon the proposed idea described above. Then we have implemented a random accessible motion video recorder, named Virtual Video Tape(VVT), on the prototype. VVT is realized as memory based and software only. At the last stage of the research plan, we have developed some application programs using the prototype and VVT, and conducted some experiments to confirm the feasibility and effectiveness of the proposed idea. Topics of those experiments are face detection, face identification, adaptive(or environmentally tunable)discriminant analysis, and so forth. Experimental results support t possibility, feasibility and effectiveness of the proposed idea.

本研究的目的是实现一种新型的并行视觉系统，以满足高速，通用性和可扩展性的要求。通常，这些要求彼此不相容。作者已经克服了不兼容的问题，通过增加贝奥武夫级PC集群与专用硬件的视觉处理。核心思想是引入视频总线。系统中不仅引入了以太网等处理器间通信链路，还引入了视频数据传输链路（视频总线）。由于视频总线，输入视频图像被同时馈送到集群的每个元件PC，而没有输入图像的任何浪费时间的复制。此功能保证了连续和高速（视频速率）处理。Beowulf级PC集群的通用性和可扩展性是由商品硬件组成的。在三年研究计划的第一阶段，作者已经实现了一个原型系统，这是基于上述提出的想法。然后，我们已经实现了一个随机访问的运动视频记录器，命名为虚拟录像带（VVT），在原型上。VVT实现为基于存储器且仅为软件。在研究计划的最后阶段，我们已经使用原型和VVT开发了一些应用程序，并进行了一些实验，以确认所提出的想法的可行性和有效性。这些实验的主题是人脸检测，人脸识别，自适应（或环境可调）判别分析，等等。实验结果证明了该方法的可行性和有效性。