High Voltage Transmission Tower Detection and Tracking in Aerial Video Sequence using Object-Based Image Classification

Parkpoom Tragulnuch, Thitiporn Chanvimaluang, T. Kasetkasem, Salisa Ingprasert, T. Isshiki
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引用次数: 10

Abstract

The Aerial Surveillance is an effective method to inspect overhead power transmission line in complicated geographical terrains. However, the practical automatic method is still needed to improve the inspection efficiency. The Canny-Edge detector and Hough transformation are used to extract the power transmission tower straight-line feature. Then, we use object-based image classification to classify the straight-line. The experiments from a set of real-world video sequence have shown the excellent performance of our approach in term of the receiver operating characteristic curve.
基于目标图像分类的航空视频序列高压输电塔检测与跟踪
空中监视是对复杂地形条件下架空输电线路进行监测的有效手段。但是,为了提高检测效率,仍然需要实用的自动化方法。利用anny- edge检测器和Hough变换提取输电塔的直线特征。然后,我们使用基于目标的图像分类对直线进行分类。一组真实视频序列的实验表明,该方法在接收机工作特性曲线方面具有优异的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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