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Pedestrian detection using quaternion histograms of oriented gradients

机译：使用定向梯度的四元数直方图进行行人检测

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摘要

In recent years, pedestrian detection has attracted more attention in many practical applications. In this paper, a novel pedestrian detection method using quaternion histograms of oriented gradients (QHOG) was proposed, which is integrated the advantages of both the quaternionic representation and HOG feature of a color image. Firstly, the quaternionic representation was performed on the color image in the sliding window, and then the histograms of oriented gradients (HOG) feature was extracted over the quaternionic representation map. After that, the QHOG histogram was constructed to represent the sliding window. Two groups of experiments are performed on two popular pedestrian datasets, INRIA dataset and Daimler Chrysler (DC) dataset, respectively. The experimental results show that our proposed QHOG detector performs better than the HOG detector, HOG-LBP detector and MWLD detector.
机译：近年来，行人检测在许多实际应用中引起了更多的关注。本文提出了一种新的使用定向四元数直方图（QHOG）的行人检测方法，该方法结合了彩色图像四元数表示和HOG特征的优点。首先，在滑动窗口中对彩色图像执行四元数表示，然后在四元数表示图上提取取向梯度直方图（HOG）特征。之后，构建QHOG直方图来表示滑动窗口。分别对INRIA数据集和Daimler Chrysler（DC）数据集这两个流行的行人数据集进行了两组实验。实验结果表明，我们提出的QHOG检测器的性能优于HOG检测器，HOG-LBP检测器和MWLD检测器。

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