Cyclic motion detection for motion based recognition
Cyclic motion detection for motion based recognition
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DOI：
10.1016/0031-3203(94)90079-5
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发表时间：
1994-12
期刊：
影响因子：
--
通讯作者：
P. Tsai;M. Shah;Katharine Keiter;T. Kasparis
中科院分区：
文献类型：
--
作者：
P. Tsai;M. Shah;Katharine Keiter;T. Kasparis
通过检查运动周期来分析步行者的运动。使用对象上的特定点在执行循环运动时创建的轨迹的平滑时空曲率函数的自相关和傅里叶变换技术来检测循环。傅里叶幅度图中的大脉冲表示循环发生的频率。分析合成生成的和真实的行走序列的循环运动。然后，将真实序列用于基于运动的识别应用，其中将一个完整的周期存储为模型，并使用输入轨迹的一个周期执行匹配过程。
The motion of a walking person is analyzed by examining cycles in the movement. Cycles are detected using autocorrelation and Fourier transform techniques of the smoothed spatio-temporal curvature function of trajectories created by specific points on the object as it performs cyclic motion. A large impulse in the Fourier magnitude plot indicates the frequency at which cycles are occurring. Both synthetically generated and real walking sequences are analyzed for cyclic motion. The real sequences are then used in a motion based recognition application in which one complete cycle is stored as a model, and a matching process is performed using one cycle of an input trajectory.