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Derivation of a Constant Velocity Motion Model for Visual Tracking

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arxiv 2005.00844 v4 pith:OIIXOWNG submitted 2020-05-02 cs.CV

classification cs.CV
keywords motiontrackingmodelobjectsconstantsizesvelocityvisual
verification ladder T0 review T1 audit T2 compute T3 formal
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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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  1. Evaluation of an Uncertainty-Aware Late Fusion Algorithm for Multi-Source Bird's Eye View Detections Under Controlled Noise

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    UniKF, a Kalman-filter-based late fusion for BEV detections, achieves lower errors than IoU-based baselines on synthetic noise, but only marginal gains over the authors' own WLS method.

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