基于OpenCV的动态背景下的运动目标检测

Moving object detection in dynamic background based on OpenCV

研究在动态背景下对视频图像序列进行运动目标的检测。主要包括三个步骤,分别是运动估计,运动补偿和目标检测。在运动估计中采用的主要是基于特征点匹配算法。这种算法与传统的块匹配算法最大的好处在于它的数据量少,计算简单迅速而且图像的匹配可靠性更高。最后用计算机视觉库OpenCV进行实现。

The moving object detection in dynamic background in the video image sequence is studied. The method includes three steps, they are motion estimation, motion compensation and object detection. At the motion estimation, an algorithm based on the feature points matching is taken. The advantages of this algorithm is that it needs fewer data and indicates faster calculating speed compared to the block matching algorithm and the matching of the video image sequence is more reliable. At last the algorithm is implemented using an computer vision library named OpenCV.