淡江大學機構典藏:Item 987654321/90437
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    题名: An Obstacle Detection System Using Depth Information and Region Growing for Blind
    作者: Hsieh, Ching-Tang;Lai, Wei-Ming;Yeh, Cheng-Hsiang;Huang, Hsieh-Chang
    贡献者: 淡江大學電機工程學系
    关键词: Obstacle detection;Kinect;Depth image;Travel aid
    日期: 2013-06-18
    上传时间: 2013-06-20 19:29:15 (UTC+8)
    出版者: AICIT, Korea(Rep. of)
    摘要: In order to make the visually impaired people get the information of obstacles effectively and avoid it successfully in the unfamiliar environment, we propose an obstacle detection method based on depth information. Firstly, we use the edge characteristics of depth image to segment the obstacle by different depth. Then we remove the unnecessary ground information by gradient threshold. Our algorithm can label the obstacles by region growing algorithm respectively. Finally, we use rectangular windows to box out these obstacles. Our algorithm can display distances between Kinect sensor and these centers of obstacles on the frame for accuracy. Experimental results show that the proposed method has greater robustness than others. And the average of processing speed is only 0.08 second per frame.
    關聯: Research Notes in Information Science (RNIS), pp.465-470
    显示于类别:[電機工程學系暨研究所] 會議論文

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