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Robust Motion Detection in Real-Life Scenarios pp 43–84Cite as

Motion Detection in General Backgrounds

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Abstract

Once the basic case of the motion detection problem has been studied and solved the issues referred to the use of different imaging sensors, the adaptation to different environments, different motion speed, the shape changes of the targets, and some uncontrolled dynamic factors (e.g. gradual/sudden illumination changes), we have focused on motion detection when real scenes are considered. Therefore, in this chapter, the goal is to design a perfect segmentation technique based on motion in environments without any constraint about the environment and the targets to be identified. With that aim, different issues such as, for instance, the presence of vacillating background elements or the distinction between targets and background objects in terms of motion and motionless situations, have been studied and solved. Thus, a brief review of the previous work is carried out in order to introduce our approach. Then, a deeper analysis of the problems as well as the proposed solutions are explained. Finally, experimental results, from qualitative and quantitative points of view, are presented and discussed. As it will be demonstrated, compared with classical techniques, the proposed algorithm is faster, more robust, and sensor-independent.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jaume I University, Av. de Vicent Sos Baynat, s/n, 12071, Castellón de la Plana, Spain

    Ester Martínez-Martín & Ángel P. del Pobil

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  1. Ester Martínez-Martín
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  2. Ángel P. del Pobil
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© 2012 Ester Martínez-Martín

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Martínez-Martín, E., del Pobil, Á.P. (2012). Motion Detection in General Backgrounds . In: Robust Motion Detection in Real-Life Scenarios. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4216-4_3

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  • DOI: https://doi.org/10.1007/978-1-4471-4216-4_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4215-7

  • Online ISBN: 978-1-4471-4216-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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