googlenet运行实例.rar - 利用googlenet实现图像分类，是googlenet的一个应用实例，只要在网上下载googlenet模型，将其放到对应文件夹中即可运行。绝对保证可以运行
MATLAB Deep Learning (1).zip - Deep learning book using matlab
DBN实例1深度信念网络.rar - Matlab编写的深度学习，DBN深度信念神经网络
RPN_BF-RPN-pedestrian.zip - 行人检测.南开大学多媒体实验室的源码。是matlab。数据集是在caltech上。
LBP-matlab.rar - 提取图像的局部二值特征；广泛用于纹理特征提取
具有旋转不变性
obj_detect_tracking__deep_learning.rar - 实现基于深度学习的多目标检测与跟踪，可进行相关了解与研究
lbp.zip - 基于Matlab实现图像LBP特征的提取，并有测试程序
HOG-LBP-detection.rar - 该程序分别提取正负样本图像的HOG和LBP特征，利用支持向量机进行样本训练，得到行人分类器。利用训练好的分类器进行检测，实验结果表明，该方法可以有效检测出图像中的行人，并达到了较好的检测结果。
lbp_code.zip - 提取图像LBP特征，用于图像识别，能有效提高识别速度。
tracking.rar - This paper proposes a new method of extracting and tracking
a nonrigid object moving while allowing camera movement. For object
extraction we first detect an object using watershed segmentation
technique and then extract its contour points by approximating the
boundary using the idea of feature point weighting. For object tracking
we take the contour to estimate its motion in the next frame by the
maximum likelihood method. The position of the object is estimated using
a probabilistic Hausdorff measurement while the shape variation is
modelled using a modified active contour model. The proposed method is
highly tolerant to occlusion. Because the tracking result is stable unless
an object is fully occluded during tracking, the proposed method can be
applied to various applications.