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  • 标题:A Survey of Various Occluded Object Detection Approach
  • 本地全文:下载
  • 作者:Ramesh Kumar Sahu ; Prof Savan Kumar Oad ; Dr. Rahul Dubey
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:6
  • 页码:11699
  • DOI:10.15680/IJIRCCE.2017.0506122
  • 出版社:S&S Publications
  • 摘要:Object detection and location is a conventional research territory in the field of Computer vision fromdecades. Distinctive sorts of usages are dependent on the scope of question discovery, for example, propel driving helpframework, movement observation, scene understanding, self-governing route and so forth. There are numerouschallenges still exist while perceiving an inquiry, for instance, deception, cast shadows, low perceivability, and aboveall impediments of question. It is moreover used to recognizing that whether in scene or picture question is been thereor not. In this review paper, we will display distinctive systems and strategies for distinguishing or perceiving objectwith different advantages like precision, heartiness, proficiency, and so on.
  • 关键词:Object detection; robustness; Computer vision; Accuracy
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