Title of article :
Multi-scale structural similarity index for motion detection
Author/Authors :
nasr, m. abdel-salam ministry of trade and industry - faculty of computers and information sciences, ida - computer science department, Egypt , alrahmawy, mohammed f. , tolba, a.s. mansoura university - faculty of computers and information sciences - computer science department, Egypt
From page :
399
To page :
409
Abstract :
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.
Keywords :
Motion detection , Multi , scale structural similarity index , Dynamic template matching
Journal title :
Journal Of King Saud University - Computer an‎d Information Sciences
Journal title :
Journal Of King Saud University - Computer an‎d Information Sciences
Record number :
2713761
Link To Document :
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