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Fuzzy Detection of Change in Spatial Scene

机译:空间场景变化的模糊检测

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摘要

Spatial relations are used in different fields of image understanding, spatial reasoning, linguistics description of scene and new fields like computing with words. These spatial relations could be used to detect change in a spatial scene, either it is a change in topological structure or a change in metric information. Three type of spatial relations can be described by fuzzy Allen histograms. As motion causes changes in a spatial scene, this change can be detected with the help of spatio-temporal relations. Different qualitative methods are used to detect changes in scene, for each type of relation a separate model is used. In this paper a new method for detecting the change in a spatial scene is proposed. This method becomes important for detecting change when directional and distance information becomes zero in qualitative methods. A histogram of fuzzy Allen relations are used to detect the change in a spatial scene and fuzzy histograms are compared by a similarity measure to detect the change in spatial scene.
机译:空间关系用于图像理解的不同领域,空间推理,场景的语言学描述,以及用词计算等新领域。这些空间关系可用于检测空间场景中的变化,它是拓扑结构的变化或度量信息的变化。模糊Allen直方图可以描述三种类型的空间关系。随着运动导致空间场景的变化,可以在短时间关系的帮助下检测这种变化。不同的定性方法用于检测场景的变化,对于每种类型的关系使用单独的模型。在本文中,提出了一种用于检测空间场景中的变化的新方法。当定性方法中的定向和距离信息变为零时,该方法对于检测变化变得重要。模糊艾伦关系的直方图用于检测空间场景的变化,并且通过相似度测量来检测空间场景的变化来比较空间场景和模糊直方图。

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