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摘要
<jats:p>A novel method of vehicle type recognition based on template matching is proposed to improve the real-time performance of the vehicle type recognition in real traffic scenes. GRM is applied and the template is normalized for realizing parallel template matching. Then, we realize the rapid vehicle type recognition through lookup tables by the hierarchical index of vehicle type template with k-means clustering and size normalization processing. The results show that the algorithm can recognize vehicle type in traffic scenes efficiently.</jats:p>
- 出版日期2014-8
- 单位电子科技大学
