Gait Recognition under Speed Transition
Gait Recognition under Speed Transition
复制标题
DOI：
10.1109/cvpr.2014.323
复制
发表时间：
2014-06
期刊：
影响因子：
--
通讯作者：
Al Mansur;Yasushi Makihara;M. Aqmar;Y. Yagi
中科院分区：
文献类型：
--
作者：
Al Mansur;Yasushi Makihara;M. Aqmar;Y. Yagi
本文介绍了一种方法的步态识别图像序列中，其中一个主题是加速或减速。由于速度变化是由于俯仰（相位的一阶导数，即步态姿态）和/或步幅的变化而发生的，我们使用其方位角和高度分别对应于相位和步幅的圆柱形流形来对这种速度变化进行建模。径向基函数（RBF）插值框架用于学习主题特定的映射矩阵，用于从流形映射到图像空间。给定测试对象的速度转换步态的输入图像序列，我们使用考虑以下三点的能量最小化框架来估计测试对象的映射矩阵以及相位和步幅序列：（1）合成图像对输入图像序列以及对由训练对象的样本构造的特征空间的适应性，（2）相位和步幅序列的平滑性，以及（3）音高和步幅对音高-步幅偏好模型的适应性。使用估计的映射矩阵，我们合成一个恒定速度的步态图像序列，并提取一个传统的基于周期的步态特征进行匹配。我们使用真实的速度转换步态图像序列与179个主题进行了实验，并证明了所提出的方法的有效性。
This paper describes a method of gait recognition from image sequences wherein a subject is accelerating or decelerating. As a speed change occurs due to a change of pitch (the first-order derivative of a phase, namely, a gait stance) and/or stride, we model this speed change using a cylindrical manifold whose azimuth and height corresponds to the phase and the stride, respectively. A radial basis function (RBF) interpolation framework is used to learn subject specific mapping matrices for mapping from manifold to image space. Given an input image sequence of speed transited gait of a test subject, we estimate the mapping matrix of the test subject as well as the phase and stride sequence using an energy minimization framework considering the following three points: (1) fitness of the synthesized images to the input image sequence as well as to an eigenspace constructed by exemplars of training subjects, (2) smoothness of the phase and the stride sequence, and (3) pitch and stride fitness to the pitch-stride preference model. Using the estimated mapping matrix, we synthesize a constant-speed gait image sequence, and extract a conventional period-based gait feature from it for matching. We conducted experiments using real speed transited gait image sequences with 179 subjects and demonstrated the effectiveness of the proposed method.