Abstract
Motion segmentation is the most important part in many applications, such as surveillance, security, monitoring, recognition, etc. The presented research deals with short-term illumination variations in video streams. Illumination variations influence values of pixels and greatly impact the segmentation mask obtained as a part of a motion detection algorithm. In order to subjectively visualize the extent of variations, these must be emphasized. The chapter presents a wavelet energy model based algorithm which detects and emphasizes illumination variations.
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Vujović, I., Kuzmanić, I., Šoda, J., Beroš, S.M. (2013). Visualization of Global Illumination Variations in Motion Segmentation. In: Öchsner, A., Altenbach, H. (eds) Experimental and Numerical Investigation of Advanced Materials and Structures. Advanced Structured Materials, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-00506-5_4
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DOI: https://doi.org/10.1007/978-3-319-00506-5_4
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