Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2017 -> Volume 29, Issue 3, July
Multi-scale structural similarity index for motion detection
Oleh : M. Abdel-Salam Nasr, Mohammed F. AlRahmawy, A.S. Tolba, King Saud University
Dibuat : 2017-07-14, dengan 1 file
Keyword : Motion detection Multi-scale structural similarity index Dynamic template matching
Url : http://www.sciencedirect.com/science/article/pii/S1319157816300088
Sumber pengambilan dokumen : web
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.
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