@inproceedings{e3c412e3b8c74b69834c371757f31440,
title = "Evaluation of unsupervised segmentation algorithms for silhouette extraction in human action video sequences",
abstract = "The main motivation of this work is to find and evaluate solutions for generating binary masks (silhouettes) of foreground targets in an automatic way. To this end, four renowned unsupervised image segmentation algorithms are applied to foreground segmentation. A comparison among these algorithms is carried out using the MuHAVi dataset of multi-camera human action video sequences. This dataset presents significant challenges in terms of harsh illumination resulting for example in high contrast and deep shadows. The segmentation results have been objectively evaluated against manually derived ground-truth silhouettes.",
keywords = "Computer science and informatics",
author = "Adolfo Martinez-Uso and G. Salgues and S.A. Velastin",
note = "Organising Body: Springer; Second International Visual Informatics Conference ; Conference date: 09-11-2011 Through 11-11-2011",
year = "2011",
month = nov,
doi = "10.1007/978-3-642-25191-7\_2",
language = "English",
isbn = "9783642251900",
volume = "7066",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "13--22",
editor = "H.B. Zaman and P. Robinson and M. Petrou and P. Olivier and Shih, \{T. K.\} and S. Velastin and I. Nystr{\"o}m",
booktitle = "Visual informatics",
address = "Germany",
}