مشاهده مشخصات مقاله
Effective Hierarchical background modeling and foreground detection in surveillance systems
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نویسنده (ها) |
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N. Armanfard
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M. Komeili
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M. Valizadeh
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E. Kabir
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Background modeling is one of the most important
parts of visual surveillance systems. Most background
models are pixel-based which extract detailed shape
of moving objects, but they are so sensitive to nonstationary
scenes. In many applications there is no
need to detect the detailed shape of moving objects.
So some researchers use block-based methods instead
of pixel-based which are more insensitive to local
movements. These two methods are complementary to
each other. We propose an efficient hierarchical
method by which the block level information is
utilized intelligently to improve the efficiency and
robustness of pixel level. Experimental results
demonstrate the effectiveness of the algorithm when
applied in different outdoor and indoor environments. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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