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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>Automatic Measurement and Differentiation of Traffic Volume Count</text>
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          <name>Subject</name>
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              <text>bbox; blob analysis; blob area; Traffic volume</text>
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              <text>Traffic volume in India is growing drastically over the past few decades. This leads to an increased need of constructing more highways and underpasses. In order to have the definite knowledge of traffic volume, and to design the width and thickness of the pavements, periodical conduction of traffic census is necessary. At present, the evaluation of traffic volume is conducted manually. This system is tiresome and lacks accuracy. The data obtained from the traffic census decides the sanction of new highways, underpasses, or flyovers which involves huge investments. Hence, the accuracy of this data is very critical. In this paper, we propose an automatic tool that helps to measure the traffic volume and differentiate the vehicles using video processing tools in MATLAB. The proposed algorithm consists of the following steps: i Foreground Detection ii Blob Detection iii Blob Analysis iv Vehicle differentiation Counting.  2018 IEEE.</text>
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          <name>Creator</name>
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              <text>Catheren K.; Joseph S.; Joshy S.; Sushanth G.</text>
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          <name>Source</name>
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              <text>Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018, pp. 443-447.</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          <name>Date</name>
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              <text>2018-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICCSP.2018.8524149" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCSP.2018.8524149&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057720379&amp;amp;doi=10.1109%2FICCSP.2018.8524149&amp;amp;partnerID=40&amp;amp;md5=25516600b09c878ae58a45a1b6d555b3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057720379&amp;amp;doi=10.1109%2fICCSP.2018.8524149&amp;amp;partnerID=40&amp;amp;md5=25516600b09c878ae58a45a1b6d555b3&lt;/a&gt;</text>
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          <name>Rights</name>
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              <text>Restricted Access</text>
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          <name>Relation</name>
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              <text>ISBN: 978-153863521-6</text>
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          <name>Format</name>
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              <text>Online</text>
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          <name>Language</name>
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              <text>English</text>
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              <text>Conference paper</text>
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              <text>Catheren K., Department of Electronics and Communication Engineering, Christ University, Bangalore, India; Joseph S., Department of Electronics and Communication Engineering, Christ University, Bangalore, India; Joshy S., Department of Electronics and Communication Engineering, Christ University, Bangalore, India; Sushanth G., Electronics and Communication Engineering Department, Christ University, Bangalore, India</text>
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