| 基于投影的车辆视频检测方法 |
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| 引用本文： | 刘岩,戴亚平,王蒙.基于投影的车辆视频检测方法[J].北京理工大学学报,2010(S1):140-143. |
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| 作者姓名： | 刘岩 戴亚平 王蒙 |
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| 作者单位： | 北京理工大学 自动化学院, 北京 100081;北京理工大学 自动化学院, 北京 100081;北京理工大学 自动化学院, 北京 100081 |
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| 基金项目： | 北京理工大学产学研联合培养研究生基地建设(1320037010601) |
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| 摘 要： | 为了提高车辆视频检测的鲁棒性,提出了一种虚拟区域内邻近帧间差分和背景差分相结合的车辆视频分割方法. 采用一种新的背景模型的高效自动更新方法,确定目标区域,利用腐蚀膨胀形态学运算减少检测区域内非目标干扰,采用帧间逻辑操作和种子填充方法填充待分割区域,基于水平和垂直投影方法,对车辆进行检测. 实验结果表明,该方法对道路车流量具有较好的检测效果.
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| 关 键 词： | 差分融合 投影 背景更新 车辆检测 |
| 收稿时间： | 2010/3/30 0:00:00 |
Study of Vehicle Video Detection Based on Projection |
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| LIU Yan,DAI Ya-ping and WANG Meng.Study of Vehicle Video Detection Based on Projection[J].Journal of Beijing Institute of Technology(Natural Science Edition),2010(S1):140-143. |
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| Authors: | LIU Yan DAI Ya-ping and WANG Meng |
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| Institution: | School of Automation, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | In order to enhance vehicle video detection a vehicle segmentation method based on the fusion of adjacent frame difference and background difference in virtual window. The object area is ascertained by a new efficient background model update method. The region of non-target disturbance is reduced by corrosion and dilation morphological operations. Then inter-frame logic operations and seed filling method are used to fill the region to be divided. The vehicle can be detected by horizontal and vertical projection method in the end. Experiments show that this method has a good detection effects for road vehicles. |
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| Keywords: | difference fusion projection background update vehicle detection |
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