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Cascade Classifier Using Combination of Histograms of Oriented Gradients for Rapid Pedestrian Detection

机译:级联分类器结合方向直方图直方图快速行人检测

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摘要

Accurate and efficient human detection has become an important area for research in computer vision. In order to solve problems in the past human detection algorithms such as features with fixed sizes, fixed positions and fixed number, the human detection based on united Hogs algorithm was proposed. This algorithm can dynamically generate the features closer to human body contours. Basically maintaining the detection speed, the detection accuracy was improved by our algorithm. We demonstrate that comparing with human detection algorithm using haar, traditional hogs and a hog with variable-size blocks, our algorithm is better in both of detection rate and false positive rate.
机译:准确有效的人体检测已成为计算机视觉研究的重要领域。为了解决现有的人体检测算法中具有大小固定,位置固定,数量固定的特征,提出了一种基于联合霍格斯算法的人体检测方法。该算法可以动态生成更接近人体轮廓的特征。基本上保持了检测速度,我们的算法提高了检测精度。我们证明,与使用haar,传统猪和具有可变大小块的猪的人类检测算法相比,我们的算法在检测率和误报率上都更好。

著录项

  • 来源
    《Journal of software》 |2013年第1期|71-77|共7页
  • 作者单位

    College of Computer Science and Technology, Jilin University, Changchun 130012, China;

    College of Computer Science and Technology, Jilin University, Changchun 130012, China;

    College of Computer Science and Technology, Jilin University, Changchun 130012. China;

    College of Computer Science and Technology, Jilin University, Changchun 130012. China;

    CSR Qishuyan Locomotive & Rolling Stock Technology Reaching Institute co.. Ltd. Changzhou 21301 I, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    pedestrian detection; hog; adaboost; weak classifier; cascade classifier;

    机译:行人检测;猪adaboost;弱分类器级联分类器;

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