Visual abstraction of complex motion patterns
Visual abstraction of complex motion patterns
复制标题
复杂运动模式的视觉抽象
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
D. Keim
中科院分区：
文献类型：
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作者：
H. Janetzko;Dominik Jäckle;O. Deussen;D. Keim
今天的跟踪设备允许高的空间和时间分辨率，并且由于其尺寸的减小，应用场景的数量也在不断增加。然而，一旦产生的轨迹变得复杂，就很难理解随着时间的推移的运动。简单地绘制数据可能会掩盖重要的模式，因为长时间的轨迹通常包括对同一地点的多次重访，这会造成高度的过度绘制。此外，重要的细节往往被隐藏，由于大规模的过渡与本地和小规模的运动模式的组合。我们提出了一个可视化和抽象技术，这样复杂的运动数据。通过分析运动模式，并显示他们与视觉抽象技术的聚合和简化的协同作用。该方法的能力在跟踪动物的实际应用中得到了展示，并与生物学专家进行了讨论。我们提出的抽象技术减少视觉混乱，并帮助分析师了解隐藏在原始时空数据的运动模式。
Today’s tracking devices allow high spatial and temporal resolutions and due to their decreasing size also an ever increasing number of application scenarios. However, understanding motion over time is quite difficult as soon as the resulting trajectories are getting complex. Simply plotting the data may obscure important patterns since trajectories over long time periods often include many revisits of the same place which creates a high degree of over-plotting. Furthermore, important details are often hidden due to a combination of large-scale transitions with local and small-scale movement patterns. We present a visualization and abstraction technique for such complex motion data. By analyzing the motion patterns and displaying them with visual abstraction techniques a synergy of aggregation and simplification is reached. The capabilities of the method are shown in real-world applications for tracked animals and discussed with experts from biology. Our proposed abstraction techniques reduce visual clutter and help analysts to understand the movement patterns that are hidden in raw spatiotemporal data.