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ACIIDS
2010
IEEE

Entrance Detection of Buildings Using Multiple Cues

8 years 11 months ago
Entrance Detection of Buildings Using Multiple Cues
This paper describes an approach to detect the entrance of building with hopeful that it will be applied for autonomous navigation robot. The entrance is an important component which connects internal and external environments of building. We focus on the method of entrance detection using multiple cues. The information of entrance characteristics such as relative height and position on the building is considered. We adopt the probabilistic model for entrance detection by defining the likelihood of various features for entrance hypotheses. To do so we first detect building's surfaces. Secondly, wall region and windows are extracted. The remained regions except the wall region and windows are considered as candidate of entrance. Finally, the entrance is identified by its probabilistic model.
Suk-Ju Kang, Hoang-Hon Trinh, Dae-Nyeon Kim, Kang-
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where ACIIDS
Authors Suk-Ju Kang, Hoang-Hon Trinh, Dae-Nyeon Kim, Kang-Hyun Jo
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