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一种改进的步态识别方法

Improved Gait Recognition Approach
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摘要 行走方向问题已经成为当今步态识别领域极富挑战性的课题.针对该问题,提出考虑到行走方向的步态识别算法,运用了全新的思路计算行走角度(DOW算法),并根据人体运动学模型和行走方向信息提取关键特征,引入了同时考虑到多类支持向量机算法和线性规划方法的lp-mc-sv算法识别,并对实验结果进行了分析.将本文算法应用于实际人体行走图像序列,获得了较为理想的识别率(80%). The walking direction has recently become a popular and challenge research problem. Considering the walking direction, an improved gait recognition approach is proposed to deal with this problem. First, a novel approach is proposed to compute the walking direction by the information of camera position and figure variations in the image--DOW algorithm. With the walking direction angle and camera affine projection model, features can be extracted according to the human model. Furthermore, lp-mc-sv algorithm based on Support Vector Machine and linear programming is performed to recognition. Finally, the result of recognition is analyzed. By applying our method to real human walking image sequences, a good recognition （80%） rate is achieved.
作者 韩旭 刘冀伟 么键 那幼超 王志良
机构地区 北京科技大学信息工程学院
出处 《电子器件》 CAS 2007年第4期1412-1416,共5页 Chinese Journal of Electron Devices
关键词 计算机视觉 步态识别 DOW算法 lp-mc-sv算法 透视投影 computer vision gait recognition DOW algorithm lp-mc-sv algorithm perspective projection
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献10

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二级参考文献34

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共引文献166

电子器件
2007年 第4期

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