title: An Indoor Obstacle Detection System Using Depth Information and Region Growth.
abstract: This study proposes an obstacle detection method that uses depth information to allow the visually impaired to avoid obstacles when they move in an unfamiliar environment. The system is composed of three parts: scene detection, obstacle detection and a vocal announcement. This study proposes a new method to remove the ground plane that overcomes the over-segmentation problem. This system addresses the over-segmentation problem by removing the edge and the initial seed position problem for the region growth method using the Connected Component Method (CCM). This system can detect static and dynamic obstacles. The system is simple, robust and efficient. The experimental results show that the proposed system is both robust and convenient.
authors.affiliation: Department of Information Technology, Lee-Ming Institute of Technology, New Taipei City 24346, Taiwan. sanmic@mail.lit.edu.tw.|Department of Electrical Engineering, Tamkang University, New Taipei City 25137, Taiwan. sanmic@mail.lit.edu.tw.
authors.forename: Hsieh-Chang
authors.initials: HC
authors.lastname: Huang
authors.affiliation: Department of Electrical Engineering, Tamkang University, New Taipei City 25137, Taiwan. hsieh@ee.tku.edu.tw.
authors.forename: Ching-Tang
authors.initials: CT
authors.lastname: Hsieh
authors.affiliation: Department of Electrical Engineering, Tamkang University, New Taipei City 25137, Taiwan. porkp617@hotmail.com.
authors.forename: Cheng-Hsiang
authors.initials: CH
authors.lastname: Yeh
keywords: Kinect; depth map; obstacle detection; travel aid