Abstract
This paper presents a framework for counting the fallen trees, bushes and debris passing in the river by monocular vision. Automatic segmentation and recognition of wood in the river is relatively new field of research. Unsupervised segmentation of the wooden objects moving in the river has been developed. A novel method is developed for the separation of wood from water waves. The counting of number of fallen trees in the river is realized by tracking them in the consecutive continuous frames. The algorithm is tested on multiple videos of floods and the results are evaluated both qualitatively and quantitatively.
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Ali, I., Tougne, L. (2009). Unsupervised Video Analysis for Counting of Wood in River during Floods. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10520-3_55
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DOI: https://doi.org/10.1007/978-3-642-10520-3_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10519-7
Online ISBN: 978-3-642-10520-3
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