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Motion estimation of high density crowd using fluid dynamics

机译:利用流体动力学的高密度人群的运动估计

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Motion estimation (ME) being a fundamental process of crowd behavior analysis experienced real challenges at high densities due to visual ambiguities and occlusion problems etc. Various surveys reported in the past years summarize conventional ME methods for crowd behaviors at low/medium densities. In this paper, we focus on state-of-the-art fluid dynamics (FD) ME methods developed over the last one and the half-decade for high-density crowd analysis. A detailed discussion is provided on the development of FD ME methods explaining the strengths and weaknesses and viability of FD ME methods for anomaly detection at high crowd densities. Comprehensive experiments are performed comparing the performance of conventional and FD ME at varying crowd densities. Experimentation results show that conventional ME methods fail at high-density crowd whereas FD ME methods could estimate motion only at the global level. Still, research is required to meet the challenges of local ME at high crowd densities.
机译:运动估计(ME)是人群行为分析的基本进程,由于视觉模糊和遮挡问题,在高密度等方面经历了真正的挑战。过去几年报告的各种调查总结了低/中等密度的人群行为的传统方法。在本文中,我们专注于最先进的流体动力学(FD)Me Me方法,该方法在最后一个和半十年内开发的高密度人群分析。关于开发FD ME方法的详细讨论,解释了FD ME对高人群密度的异常检测方法的强度和劣势和活力。进行综合实验,比较常规和FD ME的性能,以不同的人群密度。实验结果表明,传统的ME方法在高密度人群中失败,而FD ME方法可以在全球层面估算运动。尽管如此,还需要研究,以满足当地我在高人群密度的挑战。

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