Výsledky vyhledávání - "Maryam A. Yasir"

New Approach of Generating Ground-Truth for Local Surveillance Dataset Tested with Benchmark Background Subtraction Models

Autor: Maryam A. Yasir, Yossra H. Ali

Publikováno v: Iraqi Journal of Science. :2037-2050

Background subtraction is the dominant approach in the domain of moving object detection. Lots of research has been done to design or improve background subtraction models. However, there are a few well-known and state-of-the-art models that can be a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e1b8fff7f3bb08181a0035e9d64ecab5
https://doi.org/10.24996/ijs.2023.64.4.38

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Comparative Analysis of Background Subtraction Models Applied on a Local Dataset Using a New Approach for Ground-truth Generation

Autor: Maryam A. Yasir, null Yossra H. Ali

Publikováno v: International Journal of Recent Contributions from Engineering, Science & IT (iJES). 10:49-62

— Background subtraction is the dominant approach in the domain of moving object detection. Lots of research have been done to design or improve background subtraction models. However, there is a few well known and state of the art models which app

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2f2b592a6b793fc802e06e13598365c
https://doi.org/10.3991/ijes.v10i03.34317

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Dynamic Background Subtraction in Video Surveillance Using Color-Histogram and Fuzzy C-Means Algorithm with Cosine Similarity

Autor: Maryam A. Yasir, null Yossra Hussain Ali

Publikováno v: International Journal of Online and Biomedical Engineering (iJOE). 18:74-85

The background subtraction is a leading technique adopted for detecting the moving objects in video surveillance systems. Various background subtraction models have been applied to tackle different challenges in many surveillance environments. In thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1202a5d8c1c91868d31b4726354eefbe
https://doi.org/10.3991/ijoe.v18i09.30775

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Review on Real Time Background Extraction: Models, Applications, Environments, Challenges and Evaluation Approaches

Autor: Yossra H. Ali, Maryam A. Yasir

Publikováno v: International Journal of Online and Biomedical Engineering, Vol 17, Iss 02, Pp 37-68 (2021)

In the computer vision, background extraction is a promising technique. It is characterized by being applied in many different real time applications in diverse environments and with variety of challenges. Background extraction is the most popular te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d03621892d9f3bb348f186f4b55a3405
https://online-journals.org/index.php/i-joe/article/view/18013

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