Multi Scale Structural Similarity Index For Motion Detection
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Nasr, M. Abdel Salam (Author) |
| مؤلفين آخرين: | AlRahmawy, Mohammed F. (Co-Author) , Tolba, Ahmed Said (Co-Author) |
| المجلد/العدد: | مج29, ع3 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2017
|
| الصفحات: | 399 - 409 |
| DOI: |
10.33948/0584-029-003-013 |
| ISSN: |
1319-1578 |
| رقم MD: | 974227 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Motion Detection | Multi Scale Structural Similarity Index | Dynamic Template Matching
|
| رابط المحتوى: |
| المستخلص: |
The most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos. The MS SSIM approach is based on modeling of image luminance, contrast and structure at multiple scales. The MS-SSIM has resulted in much better performance than the single scale SSI approach but at the cost of relatively lower processing speed. The major advantages of the presented algorithm are both: the higher detection accuracy and the quasi real-time processing speed. |
|---|---|
| ISSN: |
1319-1578 |
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