English
Ciência_Iscte
Publicações
Descrição Detalhada da Publicação
Water detection with segmentation guided dynamic texture recognition
2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)
Ano (publicação definitiva)
2012
Língua
Inglês
País
Estados Unidos da América
Mais Informação
Web of Science®
Scopus
Google Scholar
Esta publicação não está indexada no Overton
Abstract/Resumo
This paper proposes a model for water detection in video sequences, which is a key asset of any robot operating in natural environments. By searching the visual input for the waters typically chaotic dynamic texture, the model is able to filter out the static background and even any dynamic object present in the scene. In this work, the waters signature is defined, mostly, in terms of an entropy measure computed from the optical flow obtained across several frames. To foster the classification of motionless regions in the visual input, usually associated to the far field, a segmentation guided label propagation method is used. The model is experimentally validated on 12 diverse videos, acquired from static and moving cameras.
Agradecimentos/Acknowledgements
--
Palavras-chave
Classificação Fields of Science and Technology
- Ciências Físicas - Ciências Naturais
