中文说明：对数字图像的方向梯度直方图HOG特征提取，是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子。它通过计算和统计图像局部区域的梯度方向直方图来构成特征。Hog特征结合SVM分类器已经被广泛应用于图像识别中，尤其在行人检测中获得了极大的成功。
English Description：
Digital image histogram of oriented gradients of HOG feature extraction, is used in computer vision and image processing for object detection feature descriptor. Its calculations and statistical local area gradient orientation Histogram feature. Hog combined with SVM classifiers have been widely used in image recognition, in particular, has achieved great success in the pedestrian detection.