关键词: 智能交通系统, 大货车识别, 禁行, mean shift算法, 模糊规则

Abstract: A real-time trucks recognition method is put forward for heavy traffic flow multi-lane roads which are no entry for trucks.Firstly，big vehicles are detected by the color of license plate，and then is segmented from the panorama by the combination of a mapping function and local searching which is stimulated by the fact that the position relationship of license plates in the close shot and the panorama is relative fixed.Secondly，based on mean shift segmentation and edge detection，a method for extracting three structural features which can distinguish trucks from buses efficiently is proposed.At last，trucks are recognized by the fuzzy rule.Field experimental results indicate the proposed method is robustness，accuracy and efficiency，which has high practical application value.

Key words: intelligent transportation system, truck recognition, no entry, mean shift, fuzzy rules