Unsupervised video analysis for counting of wood in river during floods
Résumé
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.