【摘要】 形状匹配算法虽然在基于内容的视频检索中应用广泛,但由于视频数据量非常大,匹配非常耗时,因此形状匹配算法通常会成为实时视频检索的瓶颈,为了快速准确地进行形状匹配和检索,提出了一种改进的多分辨率Hausdorff距离变换算法,该算法是通过对后向匹配算法进行优化来使匹配速度大大加速,可用于进行实时车型比较和识别。实验结果表明,该改进算法在车型识别上具有速度快和准确性高的优点,尤其在模板图像比较大的情况下,此改进算法优势明显。更多还原

【Abstract】 Shape matching algorithm is widely used in many applications of the content-based retrieval,however,due to large data amount of the video stream and the computation of processing,the shape matching algorithm always become bottleneck in the real-time video retrieval.In this paper,we propose an improved algorithm for Hausdorff distance based on multi-resolution,supposed to be applied in the real-time vehicle comparison and recognition,the backward matching algorithm has a great optimization.Experimental result shows that the algorithm makes vehicle recognition more fast and accurate,expecially when the model image is big,this improved algorithm has a larger excellence.更多还原