How human vision separately determines object and scene motion

该项目旨在提高人们如何处理包含多个感兴趣的移动对象的视觉场景的理解。该项目旨在测量人类的视觉表现，以确定大脑如何同时处理多个运动信号。预期的成果包括增加理解我们如何能够使用一个不断发展的视觉场景，以区分由于自我运动的变化和那些由于多个移动对象，如拥挤的城市人行道和忙碌的道路运动。这些结果将提高我们对在具有挑战性的观看条件（例如，高密度交通）下无法看到移动物体的理解，并为自动驾驶和增强现实显示系统的设计工作提供信息。

This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the motion of multiple moving objects such as crowded city footpaths and busy roads. The results will improve our understanding of failures to see moving objects in challenging viewing conditions (for example, high density traffic), and inform work in the design of autonomous driving and augmented reality display systems.