复杂环境监测的多层背景建模

S. Yoshinaga, Atsushi Shimada, H. Nagahara, R. Taniguchi, Kouichiro Kajitani, Takeshi Naito
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引用次数: 1

摘要

为了适应“光照变化”和“动态变化”(如树枝的摇摆运动),人们提出了许多背景模型。然而,在前景物体经过静止物体而静止物体停止运动的复杂环境下,背景维护问题还远未完全解决。为了解决这一问题,我们提出了一种多层背景建模框架,在该框架中,除了初始背景模型外,我们还分层保留静止物体的背景模型。为了实现这一框架,我们还提出了基于像素间强度变化相似性的时空背景模型。在公交车站和十字路口等复杂场景下的实验结果表明,基于多层背景建模框架的方法能够适应静止物体的出现和消失。
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Multi-layered Background Modeling for Complex Environment Surveillance
Many background models have been proposed to adapt to "illumination changes" and "dynamic changes" such as swaying motion of tree branches. However, the problem of background maintenance in complex environment, where foreground objects pass in front of stationary objects which cease moving, is still far from being completely solved. To address this problem, we propose a framework for multi-layered background modeling, in which we conserve the background models for stationary objects hierarchically in addition to the one for the initial background. To realize this framework, we also propose a spatio-temporal background model based on the similarity in the intensity changes among pixels. Experimental results on complex scenes, such as a bus stop and an intersection, show that our proposed method can adapt to both appearances and disappearances of stationary objects thanks to the multi-layered background modeling framework.
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