Abstract
One of the central questions in video processing is how to follow an object over time—or in other words finding the trajectory of an object. This chapter introduces a framework for doing so, namely the so-called predict-match-update framework. First the notion of prediction is presented, which basically says something about where the object is expected to be in the future. For this purpose a motion model of the object is required. Different motion models are discussed. It is then described how prediction can be used to introduce a ROI in the following image and how this relates to the uncertainty in the tracking as such. Next the chapter describes how prediction can aid in the process of tracking multiple objects. Here a number of fundamental problems related to tracking are introduced. These include the merging and splitting of objects together with the problematic situation when predicted objects cannot be detected in the image.
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© 2012 Springer-Verlag London Limited
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Moeslund, T.B. (2012). Tracking. In: Introduction to Video and Image Processing. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-2503-7_9
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DOI: https://doi.org/10.1007/978-1-4471-2503-7_9
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2502-0
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