基于颜色空间纹理融合特征的SOAMST人脸跟踪算法  

SOAMST Face Tracking Algorithm Based on the Combined Feature of Color Space and Texture

作　　者：周真真 冯子亮[1,2] 

机构地区：[1]四川大学计算机学院,成都四川 [2]视觉合成图形图像技术国家重点学科实验室,成都四川

出　　处：《图像与信号处理》2016年第4期166-173,共8页Journal of Image and Signal Processing

摘　　要：针对人脸跟踪中存在的人脸目标与背景颜色相似、光照变化对跟踪算法鲁棒性的影响,本文提出基于颜色空间纹理融合特征的SOAMST跟踪算法,将二阶空间直方图代替SOAMST建立目标模型中的颜色直方图,二阶直方图融合了目标颜色信息和颜色的空间分布信息,比传统颜色直方图更具有目标鉴别能力。此外与MBLBP特征进行融合,构建有效的联合直方图建立目标模型。不同场景下的实验结果表明,与原算法比较,本文的改进算法在人脸颜色与背景相似,光照变化,旋转大小变化等复杂环境下,抗干扰性更强,有更好的跟踪效果,具有更高的准确性和鲁棒性。In view of the existing question that in the human face tracking, face target is similar to the back-ground color, and light changes impact on the robustness of tracking algorithm, in this paper we put forward a SOAMST face tracking algorithm based on the combined feature of color space and texture, which chooses the second-order spatial histogram instead of SOAMST color histogram to build target model. The second-order histogram is combined with color’s information and color spatial distribution’s information, compared to the traditional color histogram with more target identification ability. In addition to the fusion of MBLBP characteristics, it can build effective joint histogram to establish target model. Experimental results in different scenarios show that compared with the original algorithm, the improved algorithm has better anti-interference performance, better tracking effect, and a higher accuracy and robustness under the complex environment which face color is similar to the background, light changes, and the size of the changes.

关 键 词：人脸跟踪 SOAMST 二阶空间直方图 MBLBP 颜色直方图 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]