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Dynamics Based Trajectory Segmentation for UAV videos

机译:无人机视频基于动力学的轨迹分割

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摘要

A novel representation of vehicle trajectories is proposedfor applications in trajectory analysis and activity detection.Specifically, a piecewise arc fitting based smoothingalgorithm is proposed for denoising the trajectories. A dynamicprogram is used to find the optimal arc fit to a giventrajectory. We motivate the usage of dynamic primitivesto parametrize common vehicular activities, and proposea dynamics based trajectory segmentation algorithm. Eachprimitive is modeled using a second order Auto-Regressivemodel, and form useful descriptors for a given vehiculartrajectory. We evaluate both our trajectory smoothing anddynamic trajectory segmentation algorithm on a real UAVvideo dataset, and show performance improvements whichclearly motivate its wide applicability in a general trajectoryanalysis system.
机译:提出了一种新颖的车辆轨迹表示方法,用于车辆轨迹分析和活动检测。具体地,提出了一种基于分段弧拟合的平滑算法对轨迹进行降噪。使用动态程序来找到与给定轨迹的最佳弧形拟合。我们激发了使用动态原语对常用车辆活动进行参数化的方法,并提出了一种基于动力学的轨迹分割算法。每个原语都使用二阶自回归模型建模,并为给定的车辆轨迹形成有用的描述符。我们在真实的无人机视频数据集上评估了轨迹平滑和动态轨迹分割算法,并显示了性能上的改进,这显然激发了其在一般轨迹分析系统中的广泛适用性。

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