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A Comprehensive Review of Contour Detection and Background Subtraction Methods for Extracting Moving Objects from Videos

  • Unique Paper ID: 171940
  • Volume: 11
  • Issue: 8
  • PageNo: 1317-1322
  • Abstract:
  • Object extraction is a critical step in various computer vision applications such as surveillance, autonomous vehicles, and human-computer interaction. Contour detection and background subtraction are two fundamental techniques used to isolate and identify moving objects in video streams. This paper provides a comprehensive review of state-of-the-art methods for contour detection and background subtraction, emphasizing their strengths, limitations, and applicability to different real-world scenarios. The review also explores the integration of these methods to improve robustness and accuracy in object extraction. Finally, we discuss emerging trends and future research directions in this domain.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 8
  • PageNo: 1317-1322

A Comprehensive Review of Contour Detection and Background Subtraction Methods for Extracting Moving Objects from Videos

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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