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Foreground Detection via Motion Field Based MRF-MAP

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Intelligence Science and Big Data Engineering (IScIDE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8261))

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Abstract

Foreground detection has always been of great concern in image processing field. This paper focused on detecting moving objects in videos taken by moving cameras. The segmentation result is produced by a MRF-MAP labeling method based on the motion field of optical flows. The main idea is based on the difference between foreground and background movement. Our method is evaluated on different videos to show its effectiveness.

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Zhu, L., Zhou, Y. (2013). Foreground Detection via Motion Field Based MRF-MAP. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_83

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  • DOI: https://doi.org/10.1007/978-3-642-42057-3_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42056-6

  • Online ISBN: 978-3-642-42057-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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