基于二次帧差背景提取的车辆追踪方法

Chen Hong-qi; Zhang Yun; Liu Guo-ying

doi:10.3969/j.issn.1007-7162.2013.01.010

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基于二次帧差背景提取的车辆追踪方法

更新时间：2026-05-27

- 基于二次帧差背景提取的车辆追踪方法
- Vol. 30, Issue 1, Pages: 55-60(2013)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2013.01.010
  CLC：
- Online First：30 March 2013，
  
  Published：2013
- 稿件说明：
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陈泓屺, 章云, 刘国英. 基于二次帧差背景提取的车辆追踪方法[J]. 广东工业大学学报, 2013, 30(1): 55-60.

Chen Hong-qi, Zhang Yun, Liu Guo-ying. 基于二次帧差背景提取的车辆追踪方法[J]. 2013, 30(1): 55-60.
陈泓屺, 章云, 刘国英. 基于二次帧差背景提取的车辆追踪方法[J]. 广东工业大学学报, 2013, 30(1): 55-60. DOI： 10.3969/j.issn.1007-7162.2013.01.010.

Chen Hong-qi, Zhang Yun, Liu Guo-ying. 基于二次帧差背景提取的车辆追踪方法[J]. 2013, 30(1): 55-60. DOI： 10.3969/j.issn.1007-7162.2013.01.010.

摘要

针对智能交通系统对交通参数获取的实时性需求，利用背景的短时不变性，并结合帧差分法与背景差分法，提出一种运动车辆的追踪方法.该方法采用二次帧差法对背景快速提取，再对采用背景差分法获得的差分图像进行二值化，同时

为提高识别率对二值化图像进行了形态学操作，得到了较为完整的连通域.最后以帧间连通域的距离为依据，进行车辆追踪.实验结果表明，该方法具有良好的实时性和精确度以及鲁棒性，能够满足智能交通系统的实时需求.

Abstract

To satisfy the real-time demand for the traffic parameters in the Intelligent Transportation System

it proposed a new method by combining the frame-difference method with the background-difference method for vehicle tracking with the invariance property of the background in a short time. This method was used to complete a rapid background extraction by the method of twice frame-difference

and the binary difference image was obtained by the method of background-difference. Morphology operation was introduced to handle the binary image

which can improve the recognition rate to get a relatively complete connected domain. At last

vehicles were tracked

based on the distance between the connected domain of the close frames. Experimental results show that the scheme has good real-time and accuracy performance as well as robustness to meet the demand in the Intelligent Transportation System.

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