判断点是否属于空间多边形

摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投 影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检 测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决 基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi―object tracking of traf氍c scene。how to detect the occlusion is a key problem for vehicle tracking．A novel vehicle contour based method is prope∞d to deal with this problem．This method firstly extracts the 3D geometry character from the vehicle images according to the projecting theory，establishes the model of the vehicle with the euboid project contour，and then reconstructs its 3D project contour。detects and segments the occlusion l-e- sious．Compared with traditional method，it deals with the problem with less computation because it generates the ve・ hide contour firstly and no match calculation is needed．Moreover，this method is able to solve the initial occlusion problem，which could not be solved with matching based method．The experimental results show that the

一种二值水印嵌入的方法，个人编写的，里面还有ppt，及Arnold置乱算法-a watermark embedded value method, personal preparation, there is also ppt, and Arnold Scrambling Algorithm

X.264的core代码 包括，VLC可变长编码，帧间预测，环路滤波等-X.264, including the core code, VLC variable length coding, interframe prediction, loop filtering

图像编程应用中的渭南移动电子警察源代码的实现-images of Weinan mobile electronic police source code to achieve

图形学中立方体的旋转-Graphics rotating cube

模式识别，聚类算法的matlab例程。模式识别聚类-Pattern recognition, clustering algorithm matlab routines. Pattern Recognition Clustering

这是一个非常有名的原代码，包括多种图像处理、图像识别、特征计算，是做图像处理与分析工作人员的很好的助手-This is a very well-known source code, including a variety of image processing, image recognition, feature calculation, is to do image processing and analysis of staff, a good assistant

这是个基于MATLAB的对图像边缘进行编码的代码，可以直接运行下，不过要自己修改参数-This is a MATLAB-based encoding of the image edge of the code can be run directly under, but to modify its own parameters

字体处理库freetype的源码，网址：www.freetype.org-font handling the freetype source website : www.freetype.org

ico图标库.rar-ico icon library. Rar