视频数据中基于压缩感知的速度估计
Compressive sensing based velocity estimation in video data
摘要：
本文考虑使用压缩感知算法的速度估计的移动车辆。该过程是基于稀疏重建算法结合时频分析应用于视频数据。该算法提供了一个准确的估计对象的速度，即使在一个非常减少的可用视频帧的情况下。针对不同类型的运动车辆，分析了关键参数的影响。
英文摘要：
This paper considers the use of compressive sensing based algorithms for velocity estimation of moving vehicles. The procedure is based on sparse reconstruction algorithms combined with time-frequency analysis applied to video data. This algorithm provides an accurate estimation of object's velocity even in the case of a very reduced number of available video frames. The influence of crucial parameters is analysed for different types of moving vehicles.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
