论文标题
使用步态能量图像的人体步态分析
Human Gait Analysis using Gait Energy Image
论文作者
论文摘要
步态识别是人类生物识别的最新新兴技术之一，可用于具有不受欢迎的学习方法的基于安全的目的。与其他Bio-Metrics步态分析相比，具有一些特殊的安全功能。大多数生物识别技术都使用基于顺序模板的组件分析进行识别。与这些方法相比，我们提出了一种使用特征步态能量图像（GEI）的开发技术来进行步态识别。步态的GEI表示包含一个步态周期中每个图像的所有信息，并且需要更少的存储空间和较低的处理速度。因为只有一张图像足以将必要的信息存储在GEI功能识别过程中比任何其他功能都容易得多。步态识别在识别过程中存在一些局限性，例如查看角变化，步行速度，衣服，承载负载等。我们在本文中提出的方法将识别性能与基于模板的特征提取进行比较，该功能提取需要处理周期中的每个帧。我们使用的GEI提供了相对在周期中所有有关所有框架的信息，并且比步态分析的其他功能更好地表现了性能。
Gait recognition is one of the most recent emerging techniques of human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has some special security features. Most of the biometric technique uses sequential template based component analysis for recognition. Comparing with those methods, we proposed a developed technique for gait identification using the feature Gait Energy Image (GEI). GEI representation of gait contains all information of each image in one gait cycle and requires less storage and low processing speed. As only one image is enough to store the necessary information in GEI feature recognition process is very easier than any other feature for gait recognition. Gait recognition has some limitations in recognition process like viewing angle variation, walking speed, clothes, carrying load etc. Our proposed method in the paper compares the recognition performance with template based feature extraction which needs to process each frame in the cycle. We use GEI which gives relatively all information about all the frames in the cycle and results in better performance than other feature of gait analysis.
