首页> 外文会议>International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN) >A FEATURE BASED APPROACH FOR MULTIPLE TEMPORAL TEXTURE DETECTION
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A FEATURE BASED APPROACH FOR MULTIPLE TEMPORAL TEXTURE DETECTION

机译:一种基于特征的多时间纹理检测方法

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摘要

In this paper we address the problem of detecting the presence of multiple temporal textures in an image sequence. Temporal textures are characterized by their motion pattern based features and we thus attempt an approach to detect the presence of multiple temporal textures in an image sequence from the feature space. We have established the correspondence between first order motion features of temporal textures and that of their mixture in an image sequence. We have developed a Feature based Multi-Texture Detection (FMTD) algorithm and empirically established its correctness by conducting detection experiments with a diverse set of temporal texture mixtures achieving 92.5% average accurate detection rate.
机译:在本文中,我们解决了检测图像序列中多个时间纹理的存在的问题。时间纹理的特征在于其基于运动模式的特征,因此我们尝试一种方法来从特征空间中检测图像序列中多个时间纹理的存在。我们已经建立了时间纹理的一阶运动特征与其在图像序列中的混合特征之间的对应关系。我们已经开发了一种基于特征的多纹理检测(FMTD)算法,并通过对各种时间纹理混合进行检测实验以凭经验确定其正确性,从而获得了92.5%的平均准确检测率。

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