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@article{171940,
        author = {Dr. Harsh Mathur and Mr. Prateek Oswal},
        title = {A Comprehensive Review of Contour Detection and Background Subtraction Methods for Extracting Moving Objects from Videos},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1317-1322},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171940},
        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.},
        keywords = {},
        month = {January},
        }