Dynamic Texture Recognition Based on Multiple Statistical Features with LBP/WLD

摘要：

Dynamic texture is an extension of traditional texture to spatial and temporal domain. Description and recognition of dynamic texture has attracted much attention recently. Local Binary Motion Pattern (LBMP) based on Local Binary Pattern (LBP) is easier to compute and outperforms other methods. However, the matching rule employed in LBMP is not accurate enough as well as the extracted feature is not comprehensive. This paper presents a dynamic texture recognition method based on multiple statistical characteristics with LBP and Weber Local Descriptor (WLD). Experimental results on Dyntex and Szummer database show that this method has better recognition accuracy than LBMP.

关键词： dynamic texture recognition feature abstraction LBP LBMP WLD multiple statistical features

作者: Yuqing Qin Yan Tang

作者单位: College of Computer and Information Science, Southwest University Chongqing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 957-960

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）