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首页> 外文期刊>International journal of intelligent engineering informatics >Vehicle recognition system based on customised HOG for automotive driver assistance system
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Vehicle recognition system based on customised HOG for automotive driver assistance system

机译：基于定制HOG的汽车驾驶员辅助系统车辆识别系统

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摘要

In the last decade, advanced driver assistance systems (ADAS) made enormous progress. However, obstacle recognition tasks remain a challenge. In this paper, an optimisation vehicle detection system based on a customised histogram of oriented gradients (HOG) was presented and investigated to achieve an accurate vehicle recognition system. Our contribution in this work can be summarised in two fundamental points. First, a re-optimisation of the standard HOG parameters was made to get the best results for the car detection. Secondly, an amplification factor was distributed for each bin weight according to its contribution in the extracted car-features. Our studies using a linear support vector machine (SVM) classifier in MATLAB and heterogeneous databases of vehicle and non-vehicle images were made to achieve an excellent recognition rate that outperforms other similar approaches.
机译：在过去的十年中，高级驾驶员辅助系统（ADAS）取得了巨大进步。但是，障碍识别任务仍然是一个挑战。本文提出了一种基于定制的定向梯度直方图（HOG）的优化车辆检测系统，并对其进行了研究，以实现一种精确的车辆识别系统。我们对这项工作的贡献可以概括为两个基本点。首先，对标准HOG参数进行了重新优化，以获取最佳的汽车检测结果。其次，根据每个仓重在提取的汽车特征中的贡献为每个仓重分配一个放大因子。我们使用MATLAB中的线性支持向量机（SVM）分类器以及车辆和非车辆图像的异构数据库进行研究，以实现优于其他类似方法的出色识别率。

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    Haythem Ameur; Amina Msolli; Abdelhamid Helali; Anis Youssef; Hassen Maaref;

  • 作者单位

    Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia;

    Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia;

    Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia;

    TELNET Innovation Labs, Technological pole El Ghazala, 2083 Ariana, Tunisia;

    Physics Department, Faculty of Science of Monastir, Laboratory of Micro-Optoelectronic and Nanostructure, University of Monastir, Avenue of Environment, 5019, Tunisia;

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  • 正文语种 eng
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  • 关键词

    advanced driver assistance systems; ADAS; HOG features; support vector machine; SVM; vehicle detection;

    机译：先进的驾驶员辅助系统;ADAS;HOG功能;支持向量机支持向量机;车辆检测;

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