O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .

The OpenCV "Video Surveillance" facility, also called "blob tracker" through much of the code, is a simple but practical facility intended to track moving foreground objects against a relatively static background. Conceptually it consists of a three-

OpenCV中文参考手册.chm,本文档来源于OpenCV中文网站,常用的标准图 图像文件读入和显示 图像创建、保存和复制 Canny边缘检测 Canny边缘检测2 轮廓(contour)检测 轮廓(contour)检测2 图像旋转与缩放 读视频文件和运动问题检测 Hough线段检测 鼠标绘图 -OpenCV Chinese reference manual. Chm, this document comes from OpenCV C

This an OPENCV based project. Here we are implementing the algorithm that uses adaptive methods to segment the image to identify objects. The objects are then used to form candidate markers which are examined for several criteria. Potential m

图像数据操作（内存分配与释放，图像复制、设定和转换） 图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出） 矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解） 支持多种动态数据结构（链表、队列、数据集、树、图） 基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构） 结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）