论文标题

用于视觉跟踪的恒定速度运动模型的推导

Derivation of a Constant Velocity Motion Model for Visual Tracking

论文作者

Baisa, Nathanael L.

论文摘要

运动模型在视觉跟踪应用程序中起着重要作用,用于预测下一帧中对象的可能位置。与仅考虑点的雷达或航空航天域中的目标跟踪不同,计算机视觉中的对象跟踪涉及对象的尺寸。恒定速度运动模型是用于视觉跟踪的最广泛使用的运动模型,但是,对于加入该研究领域的新研究人员而言,没有明确且可理解的派生涉及对象的大小。在本文档中,我们得出了恒定的速度运动模型,该模型结合了我们认为可以帮助新研究人员快速适应它的对象的尺寸。

Motion models play a great role in visual tracking applications for predicting the possible locations of objects in the next frame. Unlike target tracking in radar or aerospace domain which considers only points, object tracking in computer vision involves sizes of objects. Constant velocity motion model is the most widely used motion model for visual tracking, however, there is no clear and understandable derivation involving sizes of objects specially for new researchers joining this research field. In this document, we derive the constant velocity motion model that incorporates sizes of objects that, we think, can help the new researchers to adapt to it very quickly.

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