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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112695


    Title: Structure From Motion Technique for Scene Detection Using Autonomous Drone Navigation.
    Authors: Y.-P. Huang;L. Sithole;T.-T. Lee
    Keywords: Drones;Feature extraction;Streaming media;Cameras;Three-dimensional displays;Global Positioning System
    Date: 2017-09-14
    Issue Date: 2018-02-07 02:10:12 (UTC+8)
    Abstract: Abstract:
    A method is presented for scene detection and estimation using high-resolution imagery acquired through autonomous drone navigation aided with landmark detection and recognition. The proposed system comprises a drone platform that facilitates efficient autonomous flight; it can capture images and provide real-time video streaming of the ground cover using a camera equipped with a 14-megapixel CMOS sensor and a fish-eye lens. In addition, landmark detection and recognition was performed by applying the histogram of oriented gradients and linear support vector machine methods on each frame of the video stream. The high spatial resolution of the acquired drone images makes the detection and interpretation of environments less complicated. First, through image processing, orthomosaic images and 3-D environment reconstruction (point clouds) of the scene are generated from a set of drone images by using an automatic photogrammetric technique called ``structure from motion.'' Subsequently, an unsupervised classification method is used to detect and differentiate environmental classes (scene interpretation) in the target or investigated area by using the high-resolution images. Finally, the results of the proposed method are evaluated by comparing them against ground-truth points.
    Relation: IEEE Transactions on Systems, Man, and Cybernetics: Systems, p.1-12.
    DOI: 10.1109/TSMC.2017.2745419
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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