Fast and accurate car detection in drone-view

Jongmin Yoon, Inhan Kim, WonTaek Chung, Daijin Kim
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引用次数: 4

Abstract

With the development of drones, aerial images are used in a variety of applications. We propose a way to detect cars in drone-view fast and accurately. For this purpose we proposes a feature called G-ORF for effective feature description. Also we designed a pose classifier and bin-specific weighted Linear Discriminant Analysis (wLDA) classifier for pose classification and binary classification of each pose respectively. Our method showed real-time performance in HD (1280×720) video in PC environment with high detection accuracy.
无人机视角下快速准确的汽车检测
随着无人机的发展,航拍图像的应用越来越广泛。提出了一种快速、准确地检测无人机视野下车辆的方法。为此,我们提出了一种称为G-ORF的特征来进行有效的特征描述。此外,我们还设计了姿态分类器和针对每个姿态的加权线性判别分析(wLDA)分类器,分别用于姿态分类和二元分类。该方法对PC环境下的高清(1280×720)视频具有实时性,检测精度高。
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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