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Hog(1)_MatlabCode_20090408
- HoG matlab，内含HOG算法基本代码-HoG matlab code
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
HOG
- HOG算法matlab实现，看HOG特征的论文的时候心血来潮写了这个, 就当练练英语, 理解理解HOG特征.
HOG
- 这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。-This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
HOG-LBP-detection
- matlab 实现的hog和lbp 结合的行人检测-matlab hog-lbp detection
113172219hog
- descr iption phog en matlab
HOG
- 图片分块，并计算任何一个区域的柱状分析 to obtain HOG features for a cell/block region of image pixels- to obtain HOG features for a cell/block region of image pixels
hog
- Hog try I try to implement hog descr iptor
hog
- HOG特征的实现.INRIA cvpr2005论文实现-HOG feature implementation. INRIA cvpr2005 paper to achieve
HOG
- Histogram of gradients, matlab code for grayscale images, with configurable parameters.
exercise5
- Matlab HOG exercise matlab svm learning
hog
- matlab实现HOG算法，用于行人检测-Matlab HOG algorithm for pedestrian detection
HOG-LBP detection
- 检测lbp+hog特征，MATLAB代码，用于特征识别和检测(Detect lbp+hog features)
HoG (2)
- code to extract hog features
HOG
- hog features extraction
hogfeature
- 利用积分图的方式提取图像hog特征，用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)
HOG
- 掌纹识别的hog算法，在MATLAB中使用。(Palmprint recognition based on hog algorithm)
人头检测matlab代码
- 可以打开视频文件，对视频文件中的人头进行检测并统计数量。算法有HOG RCNN 及Aggrate Channel Features三种(You can open the video file, the head of the video file to detect and statistics. Algorithm HOG RCNN Aggrate Channel Features tionchannel three)
HOG-descriptor-master
- 提取HOG特征，简洁好用，使用方便，大家可以下载使用，使用matlab实现(Extraction of HOG features)
HOG
- 图像HOG特征提取的matlab程序，适用于图像处理应用(matlab codes for HOG feature selection of images, which can be useful for image processing applications)