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標題Title: ViBe: A Universal Background Subtraction Algorithm for Video Sequences
作者Authors: 徐苡庭,林學彥..等
上傳單位Department: 資訊工程系
上傳時間Date: 2013-12-30
上傳者Author: 徐苡庭
審核單位Department: 資訊工程系
審核老師Teacher: 李南逸
檔案類型Categories: 課堂報告In-class Report
關鍵詞Keyword: Index Terms—Background subtraction, computer vision, image motion analysis, image segmentation, learning (artificial intelligence), pixel classification, real-time systems, surveillance, vision and scene understanding, video signal processing.
摘要Abstract: Abstract—This paper presents a technique for motion detection
that incorporates several innovative mechanisms. For example,
our proposed technique stores, for each pixel, a set of values taken
in the past at the same location or in the neighborhood. It then
compares this set to the current pixel value in order to determine
whether that pixel belongs to the background, and adapts the
model by choosing randomly which values to substitute from the
background model. This approach differs from those based upon
the classical belief that the oldest values should be replaced first.
Finally, when the pixel is found to be part of the background,
its value is propagated into the background model of a neighboring
pixel. We describe our method in full details (including
pseudo-code and the parameter values used) and compare it to
other background subtraction techniques. Efficiency figures show
that our method outperforms recent and proven state-of-the-art
methods in terms of both computation speed and detection rate.
We also analyze the performance of a downscaled version of our
algorithm to the absolute minimum of one comparison and one
byte of memory per pixel. It appears that even such a simplified
version of our algorithm performs better than mainstream
techniques.

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