A distributed cognitive approach in cybernetic modelling of human vision in a robotic swarm

IF 1.2 Q3 Computer Science

Bio-Algorithms and Med-Systems Pub Date : 2020-07-21 DOI:10.1515/bams-2020-0025

M. Podpora, Aleksandra Kawala-Sterniuk, Viktoria Kovalchuk, G. Bialic, P. Piekielny

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引用次数: 0

Abstract

Abstract Objectives In this paper a novel approach regarding image analysis in Machine Vision applications was proposed. Methods The presented concept consists of two issues: (1) shifting some of the complex image processing and understanding algorithms from a mobile robot to distributed computer, and (2) designing the cognitive system (in a distributed computer) in such a way, that it would be common for numerous robots. The authors of this work focused on image processing, and they propose to accelerate vision understanding by using Cooperative Vision (CoV), i.e., to get video input from cooperating robots and process it in a centralized system. Results To verify the purposefulness of such approach, a comparative study is currently being conducted, involving a classical single-camera Computer Vision (CV) mobile robot and two (or more) single-camera CV robots cooperating in CoV mode. Conclusions The CoV system is being designed and implemented so that the algorithm would be able to utilize multiple video sources for recognition of objects on the very same scene.

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机器人群体中人类视觉控制论建模的分布式认知方法

摘要目的本文提出了一种在机器视觉应用中进行图像分析的新方法。方法提出的概念包括两个问题：（1）将一些复杂的图像处理和理解算法从移动机器人转移到分布式计算机，以及（2）设计认知系统（在分布式计算机中），使其在许多机器人中通用。这项工作的作者专注于图像处理，他们提出通过使用协作视觉（CoV）来加速视觉理解，即从协作机器人获得视频输入并在集中系统中进行处理。结果为了验证这种方法的目的性，目前正在进行一项比较研究，涉及一个经典的单摄像头计算机视觉（CV）移动机器人和两个（或多个）在CoV模式下协作的单摄像头CV机器人。结论CoV系统的设计和实现使得该算法能够利用多个视频源来识别同一场景中的物体。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.