搜索资源列表
violajones_ijcv
- pdf for object detection with color
ViolaJones_IJCV
- 基于adaboost的人脸检测，大牛写的，后来写的OPENCV人脸检测都是根据他的这篇论文写的，很有价值-Robust Real-time Object Detection
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
framedifferencemethod
- 基于帧差法的运动目标检测的matlab代码-Frame difference method based on moving object detection matlab code
Video_Demo
- 视频目标检测演示框架,视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 -Framework for object detection video presentation, video presentation algorithms include: 1. Static background of the context of target detection pr
CBOOK
- 码书运动物体检测，检测精度高，适合用于运动物体的实时检测和跟踪-Code book for moving object detection, high precision, suitable for real-time moving object detection and tracking
BsREPORT
- Why to choose Background Subtraction Algorithm for Object Detection
ESC-1_0
- CVPR2010文献：An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection的源代码-CVPR 2010 paper An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection source code.
Object-Based-Surveillance-
- 是计算机专业 研究生 图像处理 方向的 运动目标 检测与跟踪的相关论文-Computer image processing is the direction of graduate students moving target detection and tracking of related papers
yundong
- 能过很好的检测实施的运动目标，可以达到运动目标的快速检测，及跟踪，具有很强的鲁棒性。-Can have a good implementation of the moving object detection can achieve fast moving target detection and tracking, and highly robust.
Display
- opencv 视频采集 及 背景跟新的 帧差法 动态目标检测-opencv video capture and background frame difference with the new dynamic object detection
src
- 关于一个浮动物体检测的源代码。 可以看到很多浮动物体，然后预测物体前进方向。-It s a floating object detection source code. It could be used as a model for predicting floating object and trajectory.
pfGui
- 对移动物体的目标检测与跟踪，基于meanshift的颜色跟踪算法，可以在背景相对单一的背景下对H分量高的物体进行跟踪。跟踪效果更佳。-The goal of moving object detection and tracking, color tracking algorithm based on meanshift, relatively in the background context of a single component of high-H objects to track. B
opencv
- 在pencv中如何实现对运动物体检测的代码。-How to achieve the pencv moving object detection code.
FACE-RECOGNITION
- 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列 为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
mobil-090112
- 检测反光强弱判断物体颜色及距离，实现工厂自动生产线智能处理-Reflective object detection to determine the strength of the color and distance, to achieve intelligent processing factory automated production lines
Motion-Detection-and-tracking
- tracking moving object
targetdetection
- 基于OpenCV的运动目标检测方法研究与应用，想研究这方面的朋友可以-Moving Object Detection Based on OpenCV Research and Application, think of this friend can take a look
Process-instances-of-digital-image
- 数字图像处理技术程实例，用VISUAL C++数字图像处理技术实现一些案例，其中包括运动物体检测，和图像分割等-Process instances of digital image processing technology, using VISUAL C++ digital image processing technology to achieve a number of cases, including the moving object detection, and image segm
Digital-Image-Processing
- 用VC++实现的一些数字图像处理的案例，包括运动物体检测和图像分割-VC++ using digital image processing to achieve some of the cases, including the moving object detection and image segmentation