提出了基于傅立叶描述子的步态识别方法。
A new gait recognition method based on Fourier descriptors is presented.
提出了一种利用不变矩进行步态识别的方法。
A new method was described for gait recognition by using moment invariants.
步态识别是生物特征识别技术的一个新兴子领域。
The gait recognition is one of the new field in the feature recognition on biology.
本文提出了一种基于贝叶斯网络的步态识别方法。
This paper introduces a human gait recognition method based on Bayesian networks.
提取角度统计特征，为步态识别提供了一种新途径。
Angle feature extraction provides a new way for gait recognition.
算法利用步态的动态特征和形状信息进行步态识别。
This paper shows that the gait dynamic features and shape features are combined to recognition different people.
提出了一种新颖的沿中线投影得到特征的步态识别方法。
A new gait recognition method based on Midline projection is presented in this paper.
通常，步态识别包含步态检测、步态表征和步态鉴别三个方面。
Generally, gait recognition consists of three parts: gait detection, gait representation and gait identification.
该文提出了一种简单有效的基于人体骨骼化模型的步态识别方法。
This article describes a simple and effective gait recognition method based on a skeletal model of the body.
它的研究主要由三部分构成：运动目标检测、特征提取和步态识别。
A gait recognition system consists of three primary parts: moving target detection, feature extraction and gait recognition.
摘要步态识别是一种新兴的生物特征识别技术，具有广泛的应用前景。
Gait recognition is a new biometrics recognition technology, which will be applied extensively.
为了快速地提取步态，提出了一种基于周期序列宽度图的步态识别方法。
A novel gait recognition method based on periodic sequence width images is proposed in order to gain gait quickly and correctly.
实验结果表明，论文所提出的步态识别算法具有较高的识别率和鲁棒性。
The final experimental results revealed that our algorithm have the higher recognition rate and stronger robustness.
步态识别主要包括步态图像预处理、步态特征提取和步态分类识别三个部分。
Generally, gait recognition consists of three parts: processing gait sequence, feature extraction and feature classification.
步态识别与其它生物特征识别技术相比，最大的特点是能够进行远距离识别。
Compared to other biometrics recognition methods, gait recognition has an very important advantage, that can be observed at a distance.
本文的主要贡献如下：1提出了幅值谱和反射对称作为关键帧特征的步态识别算法。
The main contributions of this thesis are summarized as follows: 1 Proposed a method using amplitude spectrum and reflective symmetry of key frames as gait features to recognize test sequence.
步态识别是生物特征识别领域一个新的研究方向，旨在根据人们走路的姿势进行身份识别。
As a new direction in biometric, gait recognition aims to recognize individuals by the way or walking. Motion detection involved in a gait recognition system are reviewed in detail.
步态识别作为一种较新的生物认证技术有其独特优势，在计算机视觉研究领域又是一个难题。
As a new technology of biometrics, gait recognition has its predominance among other biometric technologies while in computer vision research field it is a hard problem.
步态识别是根据人们走路的姿势进行身份识别，近年引起了计算机视觉领域研究人员的广泛关注。
Gait recognition, as a new biometric recognition method, has recently received growing interest within the computer vision community.
步态识别是生物特征识别技术中的一个新兴子领域，旨在根据人们行走或跑步的方式确定其身份。
Gait recognition is a relatively new subfield in biometric recogtion, which attempts to recognize people from the way they walk or run.
为了解决人的衣着变化和携带物品对步态识别的影响，提出了一种基于动态部位变化的步态识别方法。
To solve the problem that the clothes variance or taking goods may affect the result of gait recognition, a new gait recognition method based on variance of dynamic region is proposed in this paper.
在步态识别中，完整的人体轮廓是特征提取、特征表达、目标分类与目标识别等后期处理的前提条件。
In gait recognition, effective extraction of human contour is a prerequisite of subsequent processing including feature extraction, feature expression, target classification and target recognition.
本文工作主要集中于基于图像序列的步态识别算法研究和步态视觉信息与步态触觉信息融合算法研究。
The research of this article mainly focuses on the recognition algorithm based on gait image sequences and the fusion method to consider the vision-based information and tactility-based information.
本发明属于计算机图像处理技术领域，涉及一种步态特征提取方法并涉及一种采用此种特征提取方法的步态识别方法。
The invention belongs to the computer image processing technical field and relates to a gait feature extraction method and a gait recognition method adopting the feature extraction method.
用统计学的方法，等角度间隔地计算归一化步态轮廓图像各像素点至质心距离的均值与方差，并用其构造步态识别的特征向量。
Using statistical methods to calculate the Angle interval mean and variance of pixels to centroid distance of the normalized gait silhouette images, and construct them as a feature vector.
步态识别，非接触式远距离的身份识别研究——基于运动视觉的第二代生物特征识别技术，是根据拍摄的行走视频，通过人体走路的方式辨别人体身份。
Gait recognition, the second biometrics identification technology based on motion vision, is used to signify the identity of individuals in image sequences 'by the way they walk '.
最后将这些面积特征和人体的宽高比特征一起构成步态特征矢量用于训练和识别。
Together with the ratio of the (silhouette's) height to width, the gait feature vectors are constructed to identify different subjects.
最后将这些面积特征和人体的宽高比特征一起构成步态特征矢量用于训练和识别。
Together with the ratio of the (silhouette's) height to width, the gait feature vectors are constructed to identify different subjects.
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