Robust Background Subtraction via the Local Similarity Statistical Descriptor
نویسندگان
چکیده
منابع مشابه
Robust Background Subtraction via the Local Similarity Statistical Descriptor
Background subtraction based on change detection is the first step in many computer vision systems. Many background subtraction methods have been proposed to detect foreground objects through background modeling. However, most of these methods are pixel-based, which only use pixel-by-pixel comparisons, and a few others are spatial-based, which take the neighborhood of each analyzed pixel into c...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2017
ISSN: 2076-3417
DOI: 10.3390/app7100989