基于自适应轮廓匹配的视频运动车辆检测和跟踪

为了对高空拍摄的交通场景进行图像处理，实现对运动车辆的检测和跟踪，以获得车辆的运行轨迹，在固定模板的基础上，利用自适应轮廓匹配算法，结合误检判断和轮廓分解，较好地检测出了车辆轮廓，并能避免由于两辆车靠近带来的误检．将自适应轮廓匹配思想移植到车辆跟踪中，可以实现较为准确的跟踪．计算机检测和人工检测的比对实验表明，在一定的条件下，这种算法有效消除了误检和多检现象，其正确检出率达到95．01％，即使存在一定的漏检，也可以通过插值实现填充．

Moving Vehicle Detection and Tracking Based on Video of Self-Adaptive Contour Matching

To detect and track moving vehicles and achieve the movement trace by image processing in traffic video sequences, a new algorithm based on the fixed template is proposed, where self-adaptive contour matching method is combined with false detection judgment and contour division. The algorithm accurately detects the vehicle contours and avoids the false detection due to two vehicles approached with each other. The self-adaptive contour matching method is once introduced into the moving vehicle detection to ensure a precise tracking results. Compared the computer detecting results with the manual ones, it is concluded that under the certain conditions this algorithm effectively decreases the false detections, and the accuracy reaches to 95.01%, and fewer missed detections can be made up by the interpolation.