[1]丁爱玲,杨康,齐怀超,等.单边侧阴影特征的车辆阴影去除[J].智能系统学报,2015,10(2):281-285.[doi:10.3969/j.issn.1673-4785.201310020]
DING Ailing,YANG Kang,QI Huaichao,et al.Vehicle shadow removal based on the characteristics of the single side shadow[J].CAAI Transactions on Intelligent Systems,2015,10(2):281-285.[doi:10.3969/j.issn.1673-4785.201310020]
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DING Ailing,YANG Kang,QI Huaichao,et al.Vehicle shadow removal based on the characteristics of the single side shadow[J].CAAI Transactions on Intelligent Systems,2015,10(2):281-285.[doi:10.3969/j.issn.1673-4785.201310020]
单边侧阴影特征的车辆阴影去除
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
10
期数:
2015年第2期
页码:
281-285
栏目:
学术论文—机器感知与模式识别
出版日期:
2015-04-25
- Title:
- Vehicle shadow removal based on the characteristics of the single side shadow
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 在基于视频的车辆检测问题中,车辆阴影会造成车辆提取误差,影响系统可靠性,针对该问题,提出了一种基于车辆阴影像素灰度分布特征的阴影去除方法。结合阴影产生的原理,首先分别从4个方向对前景区间进行投影,获得投射阴影的像素分布曲线。再采集阴影曲线上的像素点,计算其分布特征,其中分布于概率区间范围的即为阴影部分,从而去除阴影。实验结果表明,该方法能够快速、准确地去除图像中的车辆投射阴影。
- Abstract:
- In vehicles detection problem of video images, the vehicle cannot be extracted correctly due to the existence of the shadow, which results in low reliability in intelligent transportation system. In this paper, a method is proposed to remove the vehicle shadow by using the pixel gray distribution features of shadow. According to the theory of shadow generation, the pixel distribution of shadows can be obtained by projecting the moving target from four directions. By using the pixel shadow curve, the distribution characteristics were calculated. Deriving the range of probability distribution is just the shadow part allows the shadow to be removed.. The experimental results showed that this method could remove vehicle cast shadows in the image quickly and accurately.
- 参考文献/References:
-
[1] 杨丹,余孟泽.车辆视频检测及阴影去除[J].计算机工程与设计, 2011, 32(6): 2072-2074, 2079.YANG Dan, YU Mengze. Vehicle detection and shadow removal in video[J].Computer Engineering and Design, 2011, 32(6): 2072-2074, 2079.
[2] LEVINE M D, BHATTACHARYYA J.Removing shadows[J]. Pattern Recognition Letters, 2005, 26(2):251-265.
[3] 祖仲林,李勃,陈启美.基于局部纹理特性的运动车辆阴影消除[J].计算机工程, 2009, 35(16): 167-169.ZU Zhonglin, LI Bo, CHEN Qimei. Shadow elimination for moving vehicle based on local texture characteristic[J]. Computer Engineering, 2009, 35(16): 167-169.
[4] YONEYAMA A, YEH C H, KUO C C J. Moving cast shadow elimination for robust vehicle extraction based on 2D joint vehicle shadow models[C]//Proceedings of IEEE Conference on Advanced Video and Signal Based Surveillance. Los Angeles, USA, 2003: 229-236.
[5] HORPRASERT T, HARWOOD D, DAVIS L S. A statistical approach for real-time robust background subtraction and shadow detection[EB/OL].[2013-09-24]. http://wenku.baidu.com/view/d26c9ff04693daef5ef73dcc.html.
[6] HSIEH J, HU Wenfong, CHANG Chiajung, et al. Shadow elimination for effective moving object detection by Gaussian shadow modeling[J]. Image and Vision Computing, 2003, 21(2): 505-516.
[7] XU Dong, LI Xuelong, LIU Zhengkai, et al. Cast shadow detection in video segmentation[J]. Pattern Recognition Letters, 2005, 26(1): 91-99.
[8] 杜丽丽.智能交通系统中视频车辆检测技术的研究[D].青岛: 中国海洋大学, 2009: 39-40.DU Lili. Research on video-based vehicle detection in ITS[D]. Qingdao: Ocean University of China, 2009: 39-40.
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备注/Memo
收稿日期:2013-10-11;改回日期:。
作者简介:丁爱玲,女,年生,教授,博士,主要研究方向为小波分析、数字图像处理、智能信号与信息处理、交通信息技术及ITS等。近年来主持并参加了10余项科研的研究工作,发表学术论文20余篇,其中被SCI收录1篇,EI收录12篇,ISTP收录3篇;杨康,男,1987年生,硕士研究生,主要研究方向为交通信息技术及ITS;齐怀超,男,1986年生,硕士研究生,主要研究方向为交通信息技术及ITS。
通讯作者:齐怀超.E-mail:674892125@qq.com.
更新日期/Last Update:
2015-06-15