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Flow parsing and biological motion
Attention, Perception, & Psychophysics ( IF 1.7 ) Pub Date : 2021-02-24 , DOI: 10.3758/s13414-020-02217-6
Katja M Mayer 1 , Hugh Riddell 1, 2 , Markus Lappe 1, 3
Affiliation  

Flow parsing is a way to estimate the direction of scene-relative motion of independently moving objects during self-motion of the observer. So far, this has been tested for simple geometric shapes such as dots or bars. Whether further cues such as prior knowledge about typical directions of an object’s movement, e.g., typical human motion, are considered in the estimations is currently unclear. Here, we adjudicated between the theory that the direction of scene-relative motion of humans is estimated exclusively by flow parsing, just like for simple geometric objects, and the theory that prior knowledge about biological motion affects estimation of perceived direction of scene-relative motion of humans. We placed a human point-light walker in optic flow fields that simulated forward motion of the observer. We introduced conflicts between biological features of the walker (i.e., facing and articulation) and the direction of scene-relative motion. We investigated whether perceived direction of scene-relative motion was biased towards biological features and compared the results to perceived direction of scene-relative motion of scrambled walkers and dot clouds. We found that for humans the perceived direction of scene-relative motion was biased towards biological features. Additionally, we found larger flow parsing gain for humans compared to the other walker types. This indicates that flow parsing is not the only visual mechanism relevant for estimating the direction of scene-relative motion of independently moving objects during self-motion: observers also rely on prior knowledge about typical object motion, such as typical facing and articulation of humans.



中文翻译:

流量解析和生物运动

流解析是一种在观察者自身运动过程中估计独立运动物体的场景相关运动方向的方法。到目前为止,这已经针对简单的几何形状(例如点或条)进行了测试。目前还不清楚在估计中是否考虑了进一步的线索,例如关于对象运动的典型方向的先验知识,例如典型的人体运动。在这里,我们在人类场景相关运动方向完全通过流解析估计的理论之间进行判断,就像简单的几何对象一样,以及生物运动的先验知识影响场景相关运动感知方向的估计的理论。的人类。我们在模拟观察者向前运动的光流场中放置了一个人类点光步行器。我们介绍了步行者的生物特征(即面向和关节)与场景相关运动方向之间的冲突。我们调查了场景相关运动的感知方向是否偏向于生物特征,并将结果与​​乱序步行者和点云的场景相关运动的感知方向进行比较。我们发现,对于人类来说,场景相关运动的感知方向偏向于生物特征。此外,我们发现与其他步行者类型相比,人类的流量解析增益更大。这表明流解析并不是在自运动期间与估计独立运动物体的场景相关运动方向相关的唯一视觉机制:观察者还依赖于关于典型物体运动的先验知识,

更新日期:2021-02-25
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