A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit <a rel="external noopener" href="https://biblio.ugent.be/publication/8541706/file/8541708.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Distributed barcode tracking in visual sensor networks
<span title="">2017</span>
<i title="IEEE">
2017 IEEE SENSORS
</i>
A novel approach for robot tracking and identification based on barcodes is proposed in this paper. The proposed system tracks robots fitted with barcodes identifying them. The system performs distributed visual processing and collaborative barcode tracking, whereby the nodes exchange processed visual information with appropriate neighboring nodes, informing them about incoming targets. The proposed tracking system is deployed on a visual sensor network (VSN) based on the Raspberry Pi. Its
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icsens.2017.8234160">doi:10.1109/icsens.2017.8234160</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/62w3gquc3rbj7jm7idxhmzptfm">fatcat:62w3gquc3rbj7jm7idxhmzptfm</a>
</span>
more »
... ical realization includes various components that handle real-time collaborative tracking, streaming, communication, configuration, management, monitoring, and deployment. The proposed system is able to efficiently and accurately track barcodes in real time. Complexity modeling demonstrates that the proposed distributed system brings substantial complexity reductions compared to a system of independently operating cameras. Experimental results demonstrate that the proposed system can track multiple barcodes in real time with an accuracy of less than 1 centimeter.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719094313/https://biblio.ugent.be/publication/8541706/file/8541708.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/bd/09bdae205070004251acc24ead2dd5c935b2699f.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icsens.2017.8234160">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
ieee.com
</button>
</a>