A new gait recognition method based on Midline projection is presented in this paper.
提出了一种新颖的沿中线投影得到特征的步态识别方法。
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 '.
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。
This article describes a simple and effective gait recognition method based on a skeletal model of the body.
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。
A new gait recognition method based on Fourier descriptors is presented.
提出了基于傅立叶描述子的步态识别方法。
A novel gait recognition method based on periodic sequence width images is proposed in order to gain gait quickly and correctly.
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。
At last, maximum entropy markov model is used to model the gait sequences of each people and implements recognition based on probability graph.
最后使用最大熵马尔可夫模型对各个人的步态进行建模，完成了基于概率图的识别。
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.
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。
This paper introduces a human gait recognition method based on Bayesian networks.
本文提出了一种基于贝叶斯网络的步态识别方法。
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。
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