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  <doi_batch_id>aspg-25-2643-1791493097</doi_batch_id>
  <timestamp>20261008205817</timestamp>
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   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Cognitive Human-Computer Interaction</full_title>
    <abbrev_title>JCHCI</abbrev_title>
    <issn media_type="print">2771-1471</issn>
    <issn media_type="electronic">2771-1463</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>6</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Object Detection Using Deep Learning</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>S.</given_name>
      <surname>Vimala</surname>
      <affiliations>
       <institution>
        <institution_name>Associate Professor, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Vibu Krishnan</given_name>
      <surname>S.</surname>
      <affiliations>
       <institution>
        <institution_name>U.G Student, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Mathan Raj</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>U.G Student, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ashok</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>U.G Student, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>M.</given_name>
      <surname>Janakiraman</surname>
      <affiliations>
       <institution>
        <institution_name>U.G Student, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Object recognition is an important task in computer vision that involves identifying the objects such as digital images or videos. This research paper provides a comprehensive review of the different techniques and applications of object recognition. The paper first discusses the basic concepts of object recognition, including feature extraction and matching, classification, and detection. Next, the paper reviews the different techniques for object recognition, such as template matching, PCA-based recognition, and deep learning-based recognition. The paper then presents an overview of the different applications of object recognition, including image and video classification, object tracking, face recognition, and autonomous driving. Finally, the paper ends with a discussion of the difficulties and likely new paths for object recognition.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>32</first_page>
     <last_page>38</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2643</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/JCHCI.060103</doi>
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