Visual motion processing can be conceptually divided into two levels. In the lower level, local motion signals are detected by spatiotemporal-frequency-selective sensors and then integrated into a motion vector flow. Although the model based on V1-MT physiology provides a good computational framework for this level of processing, it needs to be updated to fully explain psychophysical findings about motion perception, including complex motion signal interactions in the spatiotemporal-frequency and space domains. In the higher level, the velocity map is interpreted. Although there are many motion interpretation processes, we highlight the recent progress in research on the perception of material (e.g., specular reflection, liquid viscosity) and on animacy perception. We then consider possible linking mechanisms of the two levels and propose intrinsic flow decomposition as the key problem. To provide insights into computational mechanisms of motion perception, in addition to psychophysics and neurosciences, we review machine vision studies seeking to solve similar problems.

中文翻译：

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运动感知：从检测到解释。

视觉运动处理可以从概念上分为两个级别。在较低级别，局部运动信号由时空频率选择性传感器检测，然后集成到运动矢量流中。尽管基于V1-MT生理学的模型为该级别的处理提供了良好的计算框架，但需要对其进行更新以充分说明有关运动感知的心理物理学发现，包括时空-频域和空间域中的复杂运动信号相互作用。在较高级别上，将解释速度图。尽管有许多运动解释过程，但我们着重介绍了在材料感知（例如镜面反射，液体粘度）和动画效果感知方面的最新研究进展。然后，我们考虑这两个级别的可能链接机制，并提出固有流分解作为关键问题。为了提供对运动感知的计算机制的洞察力，以及心理物理学和神经科学，我们回顾了旨在解决类似问题的机器视觉研究。