@inproceedings{01e06cde6a0c4957876d5fdb08adba70,
title = "Semantic regions recognition in UAV images",
abstract = "In this work, we describe a framework to analyze UAV videos content. A multi-class image segmentation approach is proposed considering UAV videos specific characteristics. A static image segmentation is applied on each frame. After a preprocessing step on resulting segments, a SVM classifier is used to recognize regions. A Markov model is introduced to combine the results from the previous frames in order to improve the accuracy. The framework has been designed to be as flexible as possible with an eye to allow to insert holistic information into the model.",
author = "St{\'e}phane Lathuili{\`e}re and Hai, \{Hai Vu\} and Le, \{Thi Lan\} and Tran, \{Thanh Hai\} and Hung, \{Dinh Tan\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th International Conference on Knowledge and Systems Engineering, KSE 2014 ; Conference date: 09-10-2014 Through 11-10-2014",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-11680-8\_25",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "313--323",
editor = "Van-Nam Huynh and Viet-Ha Nguyen and Anh-Cuong Le",
booktitle = "Knowledge and Systems Engineering - Proceedings of the Sixth International Conference, KSE 2014",
}