Abstract
This paper proposes a technique for analysing the automatic extraction of moving objects and suppression of the remaining errors under disturbed image situations from static camera. In this technique, we apply a modified difference image-based approach for the segmentation of moving objects in video sequences. The second part of the paper examines the problem of suppression of the remaining errors by means of morphological, separation and shadow detection algorithms. The efficiency of this suggested approach for moving objects segmentation will be demonstrated here on the basis of the analysis of strongly disturbed image sequences.
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Al-Hamadi, A.K., Niese, R., Michaelis, B. (2006). A FAST AND ROBUST APPROACH FOR THE SEGMENTATION OF MOVING OBJECTS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_3
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DOI: https://doi.org/10.1007/1-4020-4179-9_3
Publisher Name: Springer, Dordrecht
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