Demand-based dynamic distribution of attention and monitoring of velocities during multiple-object tracking.

Demand-based dynamic distribution of attention and monitoring of velocities during multiple-object tracking.
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DOI:
10.1167/9.4.1
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发表时间:
2009-04-03
期刊:
影响因子:
1.8
通讯作者:
Suzuki S
Suzuki S
中科院分区:
医学4区
文献类型:
--
作者:
Iordanescu L;Grabowecky M;Suzuki S

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跟踪多个移动物体的能力一直是许多研究的焦点。然而,关于这种能力的两个关键方面,文献是相对不确定的,(1)在跟踪期间,被跟踪目标之间的注意力分布是固定的还是动态调整的,以及(2)运动信息(方向和/或速度)是否用于预测目标位置,即使当速度由于物体间碰撞而不断变化时。通过分析目标定位误差,解决了这些问题。拥挤情况下的目标(即,那些有迷路危险的人)比不拥挤的目标定位得更精确。此外,响应向量(从目标位置指向报告的位置)被调谐到目标运动的方向,并且具有更强方向的观察者更精确地调谐定位目标。总的来说,我们的研究结果提供了证据,多对象跟踪机制动态地调整注意力的空间分布在一个基于需求的方式(分配更多的资源,在拥挤的情况下的目标),并利用运动信息(特别是方向信息)来预测目标的位置。
The ability to track multiple moving objects with attention has been the focus of much research. However, the literature is relatively inconclusive regarding two key aspects of this ability, (1) whether the distribution of attention among the tracked targets is fixed during a period of tracking or is dynamically adjusted, and (2) whether motion information (direction and/or speed) is used to anticipate target locations even when velocities constantly change due to inter-object collisions. These questions were addressed by analyzing target-localization errors. Targets in crowded situations (i.e., those in danger of being lost) were localized more precisely than were uncrowded targets. Furthermore, the response vector (pointing from the target location to the reported location) was tuned to the direction of target motion, and observers with stronger direction tuning localized targets more precisely. Overall, our results provide evidence that multiple-object tracking mechanisms dynamically adjust the spatial distribution of attention in a demand-based manner (allocating more resources to targets in crowded situations) and utilize motion information (especially direction information) to anticipate target locations.
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