三、目标检测Object Detection：A simple ob

三、目标检测Object Detection：
A simple object detector with boosting [Project]
INRIA Object Detection and Localization Toolkit [1] [Project]
Discriminatively Trained Deformable Part Models [2] [Project]
Cascade Object Detection with Deformable Part Models [3] [Project]
Poselet [4] [Project]
Implicit Shape Model [5] [Project]
Viola and Jones’s Face Detection [6] [Project]
Bayesian Modelling of Dyanmic Scenes for Object Detection[Paper][Code]
Hand detection using multiple proposals[Project]
Color Constancy, Intrinsic Images, and Shape Estimation[Paper][Code]
Discriminatively trained deformable part models[Project]
Gradient Response Maps for Real-Time Detection of Texture-Less Objects: LineMOD [Project]
Image Processing On Line[Project]
Robust Optical Flow Estimation[Project]
Where's Waldo: Matching People in Images of Crowds[Project]
Scalable Multi-class Object Detection[Project]
Class-Specific Hough Forests for Object Detection[Project]
Deformed Lattice Detection In Real-World Images[Project]
Discriminatively trained deformable part models[Project]
 

結果 (中文) 1:

三、目标检测Object 检测:A 简单对象探测器与提高 [项目]INRIA 对象检测和定位工具包 [1] [项目]Discriminatively 训练变形零件模型 [2] [项目]Cascade 对象检测与变形零件模型 [3] [项目]Poselet [4] [项目]Implicit 形状模型 [5] [项目]Viola 和琼斯的人脸检测 [6] [项目]Bayesian 模型的动态场景对象检测 [文件] [代码]Hand 检测使用多个建议 [项目]Color 恒常性、 内在图像和形状估计 [文件] [代码]Discriminatively 训练变形零件模型 [项目]Gradient 响应地图实时检测的纹理少对象: LineMOD [项目]Image 处理线 [项目]Robust 光流估计 [项目]Where 的瓦尔多: 匹配的人群 [项目] 图像中的人Scalable 多类对象检测 [项目]Class 具体 Hough 森林对象检测 [项目]Deformed 点阵图像检测的真实世界 [项目]Discriminatively 训练变形零件模型 [项目] 

結果 (中文) 3:

三、目标检测检测对象：
简单对象探测器提高[项目]
INRIA的目标检测和定位工具[ 1 ] [项目]
歧视训练有素的变形的零件模型[ 2 ] [项目]
级联对象检测与变形的零件模型[ 3 ] [项目] [ 4 ] [
poselet项目]
隐含形状模型[ 5 ] [项目]
Viola和琼斯的人脸检测[ 6 ] [项目]
贝叶斯建模的动态场景目标检测[纸] [代码]
手检测使用多个建议[项目]
颜色恒常性，内在形象，和形状估计[纸] [代码]
歧视训练有素的变形的零件模型[项目]
梯度响应图实时检测纹理少对象：linemod [项目]
图像处理线[项目]
鲁棒的光流估计[项目]
在哪里瓦尔多：人们在图像匹配人群【项目】
可扩展的多类目标检测[项目]
类特定目标检测Hough森林[项目]
变形格检测在现实世界的图像[项目]
歧视训练有素的可变形模型[项目]