Contour Detection of Multiple Moving Objects in Unconstrained Scenes using Optical Strain

Maria Oliver-Parera, Julien Muzeau, P. Ladret, P. Bertolino
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Abstract

Moving Object Detection (MOD) is still an active area of research due to the amount of scenarios it can tackle and the different characteristics that may appear in them. Therefore, getting a unique method that performs well in all the situations becomes a challenging task. In this paper we address the MOD problem from a physical point of view: given the optical flow between two images, we propose to find its motion-boundaries by means of the optical strain, which gives information about the deformation of any vector field. As optical strain detects all the motions from a sequence, we propose to work on temporal windows and apply thresholding on them in order to separate noise from real motion. The proposed approach shows competitive results when compared to other methods on known datasets.
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基于光学应变的无约束场景中多运动物体轮廓检测
移动目标检测(MOD)仍然是一个活跃的研究领域,因为它可以处理大量的场景,以及可能出现在其中的不同特征。因此,找到一种在所有情况下都表现良好的独特方法成为一项具有挑战性的任务。在本文中,我们从物理的角度来解决MOD问题:给定两个图像之间的光流,我们建议通过光学应变来找到它的运动边界,光学应变提供了关于任何矢量场变形的信息。由于光学应变检测序列中的所有运动,我们建议对时间窗口进行处理并对其应用阈值,以便从真实运动中分离噪声。在已知数据集上,与其他方法相比,该方法显示出具有竞争力的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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