Moving object velocity estimation by appropriately choosing spatial frequencies in the MixeD domain

Shengli Wu, N. Hamada
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引用次数: 2

Abstract

To estimate moving objects velocity in an image sequence is useful for a variety of applications, such as computer vision and monitoring systems. An effective way is to approach it in the transform/spatiotemporal mixed domain (MixeD), but it remains a problem how to select several 2-D spatial frequency points in MixeD domain which may influence the accuracy of velocity estimation and object detection. We propose a method to approach the velocity estimation problem by automatically selecting only two appropriate points in 2-D spatial frequency domain, the selection is achieved by using the established evaluation function together with a threshold. The simulation results show that the proposed method is effective on the selection of spatial frequency points.
混合域中适当选择空间频率的运动目标速度估计
在图像序列中估计运动物体的速度对各种应用都很有用,例如计算机视觉和监控系统。一种有效的方法是在变换/时空混合域(mixed)中进行处理,但如何在混合域中选择多个二维空间频率点是一个问题,这可能会影响速度估计和目标检测的精度。提出了一种在二维空间频域上自动选择两个合适点的速度估计方法,该方法利用所建立的评价函数和阈值来实现速度估计。仿真结果表明,该方法对空间频率点的选取是有效的。
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