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Igohd
- 图像梯度方向直方图描述子:，该方法使用梯度方向直方图（Histogram of Oriented Gradients,简称HOG） 特征来表达人体，提取人体的外形信息和运动信息，形成丰富的特征集，然后使 用支持向量机线性SVM 分类器对这些特征集进行训练。-Image gradient orientation histogram descr iptor
fastHOG3D--full-version
- 这是一个完整版，包含调用文件。整个视频可以用在不同尺度和位置计算得来的特征集进行表示。Hog3D描述子由Alexander Klaser Marcin Marszał ek Cordelia Schmid等人提出的，将HOG的概念扩展，由静态图像特征提取扩展到视频序列的特征提取，在视频序列中的行人检测取得了较好的成果。-This is a complete version, including calls to the file. The video can be used in dif
cvHOG
- The code below is implementation of HOG (Histogram-of-Oriented Gradients) descr iptor and object detection, introduced by Navneet Dalal and Bill Triggs. The computed feature vectors are compatible with the INRIA Object Detection and Localization
hog_feature_vector
- The given code finds the HOG feature vector for any given image. HOG feature vector/descr iptor can then be used for detection of any particular object. -The given code finds the HOG feature vector for any given image. HOG feature vector/desc
LDOF_src
- The code implements a coarse-to-fine variational framework for optical flow estimation between two image frames that incorporates descr iptor matches in additiona to the standard brightness and gradient constrancy constraints, for dealing effectively