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" .

Engine Introduction Many people have asked me for the DirectX demo C++ source code, so here it is. The Demo framework I ve build for creating the demos consist of the following components: * Kernel system, with scene manager, camera and simple

图像的边缘是图像的最基本特征。边缘蕴含了丰富的信息，能描绘出目标物体，令观察者一目了然，是人们最感兴趣的图像特征之一。与灰度图像进行比较，彩色图像可以提供更为丰富的信息，彩色图像的边缘检测也日益受到人们的重视。本文是在灰度图像的检测基础上，利用经典的灰度图像检测算法对彩色图像各个分量进行边缘检测，再将结果进行合并，从而得到彩色图像的边缘检测结果。-The edge of the image is the most basic feature of the image. Edge contains

People detection and tracking in video sequences are a crucial step for many applications such as security systems and entertainment. Although humans can easily perform these tasks, detecting and tracking people in dynamic background scenes are n