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基于车型聚类的交通流参数视频检测

吴聪 李勃 董蓉 陈启美

吴聪, 李勃, 董蓉, 陈启美. 基于车型聚类的交通流参数视频检测. 自动化学报, 2011, 37(5): 569-576. doi: 10.3724/SP.J.1004.2011.00569
引用本文: 吴聪, 李勃, 董蓉, 陈启美. 基于车型聚类的交通流参数视频检测. 自动化学报, 2011, 37(5): 569-576. doi: 10.3724/SP.J.1004.2011.00569
WU Cong, LI Bo, DONG Rong, CHEN Qi-Mei. Detecting Traffic Parameters Based on Vehicle Clustering from Video. ACTA AUTOMATICA SINICA, 2011, 37(5): 569-576. doi: 10.3724/SP.J.1004.2011.00569
Citation: WU Cong, LI Bo, DONG Rong, CHEN Qi-Mei. Detecting Traffic Parameters Based on Vehicle Clustering from Video. ACTA AUTOMATICA SINICA, 2011, 37(5): 569-576. doi: 10.3724/SP.J.1004.2011.00569

基于车型聚类的交通流参数视频检测

doi: 10.3724/SP.J.1004.2011.00569
详细信息
    通讯作者:

    李勃

Detecting Traffic Parameters Based on Vehicle Clustering from Video

  • 摘要: 单目摄像机成像丢失深度信息,且PTZ (Pan/Tilt/Zoom)摄像视频场景多变,导致交通流参数提取误差较大. 提出了一种基于车型聚类的交通流参数检测方法. 在改进的摄像机自标定成像模型中,提取PTZ 参数变化下的透视投影不变量"伪形状特征'', 对其进行基于贡献率算法的车型聚类分析,以车型均高代替实际高度,获取车辆的长宽, 进而计算道路空间占有率,并提升车速检测精度. 测试表明实时性较高,车型聚类自适应于不同场景,平均准确度为96.9%,车长计算精度优于90%.
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出版历程
  • 收稿日期:  2010-05-31
  • 修回日期:  2011-01-12
  • 刊出日期:  2011-05-20

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