Dynamics Based Trajectory Segmentation for UAV videos

P. Banerjee, R. Nevatia
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引用次数: 7

Abstract

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.
基于动力学的无人机视频轨迹分割
提出了一种新的车辆轨迹表示方法,用于轨迹分析和活动检测。具体来说,提出了一种基于分段圆弧拟合的轨迹平滑算法。采用动态规划方法求解给定轨迹的最优弧线拟合。我们鼓励使用动态原语来参数化常见的车辆活动,并提出了一种基于动态的轨迹分割算法。每个基元都使用二阶自回归模型建模,并形成给定飞行器轨迹的有用描述符。我们在一个真实的无人机视频数据集上评估了我们的轨迹平滑和动态轨迹分割算法,并展示了性能改进,这明显激发了它在一般轨迹分析系统中的广泛适用性。
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