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基于多尺度细胞局部二值模式的人体检测 被引量:2

Human Detection Based on Multi-scale Cell Structured Local Binary Pattern
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摘要 细胞局部二值模式(cell structured Local Binary Pattern)不能将人体图像的局部信息与全局信息相结合。针对这一不足,在细胞局部二值模式特征的基础上,提出多尺度细胞局部二值模式(Multi-scale cell structured Local Binary Pattern,MLBP)特征描述子,联合局部与全局信息,增加检测特征的信息量;另外,在MLBP的基础上进一步提出一个控制因子调节的新算子—可调多尺度细胞局部二值模式(Adjustable Multi-scale cell structured Local Binary Pattern,AMLBP),利用控制因子选择MLBP的最佳表征,提高人体检测的准确率。实验结果表明所提出的两个新特征较前人提出的特征更有效。 The cell structured local binary pattern (LBP) can not combine local and global information together. Therefore, propose multi -scale cell structured LBP (MLBP) to explore the full strengths of them by local and global information. Also extend MLBP with a con- trol factor and thus obtain a new feature descriptor called adjustable multi-scale cell structured local binary pattern (AMLBP) where the control factor is utilized to select the best description of MLBP,so can further improve the detection accuracy. Experimental results dem- onstrate the efficiency of the proposed methods.
出处 《计算机技术与发展》 2012年第7期52-56,共5页 Computer Technology and Development
基金 国家自然科学基金青年科学基金项目(61003131) 安徽省教育厅高等教育科学研究基金重点项目(KJ2010A010) 安徽大学青年科学研究基金重点项目(2009QN009A)
关键词 人体检测 局部二值模式 局部信息 全局信息 多尺度细胞局部二值模式 可调多尺度细胞局部二值模式 human detection local binary pattern local information global information multi-scale cell structured local binary pattern adjustable multi-scale cell structured local binary pattern
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