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  Published Paper Details:

  Paper Title

A Contour Detection and Background Subtraction Method for Extracting Moving Objects from Videos

  Authors

  Mr. Prateek Oswal,  Dr. Harsh Mathur

  Keywords

Contour Detection, Background Subtraction, Video Processing, Moving Object Detection, GMM, Canny Edge Detection, Real-Time Surveillance.

  Abstract


The accurate extraction of moving objects from video sequences remains a critical challenge in computer vision, particularly for applications such as video surveillance, traffic monitoring, and human activity recognition. Traditional background subtraction techniques often falter in complex environments, while edge-based approaches lack semantic context. This paper introduces a hybrid framework integrating adaptive background subtraction with contour detection to enhance accuracy and robustness. Evaluated across benchmark datasets (PETS2009, CDnet2014) and a custom surveillance set, our method demonstrates superior performance in precision, recall, and computational efficiency compared to baseline techniques. Results indicate this approach is highly suitable for real-time object detection in resource-constrained environments.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504900

  Paper ID - 282668

  Page Number(s) - h672-h675

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Prateek Oswal,  Dr. Harsh Mathur,   "A Contour Detection and Background Subtraction Method for Extracting Moving Objects from Videos", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.h672-h675, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504900.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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