Effective Hierarchical background modeling and foreground detection in surveillance systems
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_059
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
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 omplementary 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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Authors
N Armanfard
Dept of Electrical Engineering, Tarbiat Modarres University
M Valizadeh
Dept of Electrical Engineering, Tarbiat Modarres University
M Komeili
Dept of Electrical Engineering, Tarbiat Modarres University