Abstract
Video tracking system raises a wide possibility in today’s society. This system is used in various applications such as security, monitoring, robotic, and nowadays in day-to-day applications. However the video tracking systems still have many open problems and various research activities in a video tracking system are explored. In this study, we have developed a prototype to track a bounce ball movement. Generally, the movement of a bounce ball is fast and the sizes of objects are different regarding on camera view. Therefore, the aim of this study is to construct a motion tracking for an object movement using a particle filter formula. Where, at the end of this paper, the detail outcome and result are discussed using experiments of this method.
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Musa, Z.B., Watada, J. (2008). Motion Tracking Using Particle Filter. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85567-5_16
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DOI: https://doi.org/10.1007/978-3-540-85567-5_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85566-8
Online ISBN: 978-3-540-85567-5
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