用于环境数据建模的时空螺旋

Kristin Eickhorst, A. Croitoru, P. Agouris, A. Stefanidis
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引用次数: 0

摘要

时空螺旋是一种模拟物体随时间变化的新方法。它们有可能被用作地理和生物应用的预测工具。我们介绍了这些螺旋的正式基础,并包括实验来证明它们在数据收集不理想时的有用性,例如当存在噪声或单个视频流中存在多个感兴趣的对象时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal helixes for modeling environmental data
Spatiotemporal helixes are a new method for modeling the changes an object experiences over time. They have the potential to be used as a predictive tool for geographical and biological applications. We present the formal foundations of these helixes and include experiments to demonstrate their usefulness when data collection is not optimal, such as when noise is present or when there is more than one object of interest present in a single video stream.
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