帮助 关于我们

返回检索结果

基于阴影图像本征值的室外目标跟踪
Outdoor Target Tracking Based on Intrinsic Values of Shadow Images

查看参考文献20篇

文摘 针对阴影导致目标跟踪中的目标丢失问题,提出了一种基于图像本征值的室外目标跟踪方法.首先,根据相机成像时阴影内外像素值的线性关系,推导出一种新的阴影图像本征值计算方法;然后,将经过阴影的目标所在区域变换到本征值生成的本征图像中;最后,利用MS(mean shift)跟踪算法在本征图像中进行目标精确定位.此方法不需要任何相机的相关参数信息,计算速度快.本文对多组含有阴影的序列中的目标进行了对比跟踪实验.与其它跟踪方法相比,本文的方法具有更高的跟踪精度,计算速度也可以达到实时的要求.实验结果说明本文方法对室外复杂光照条件下的跟踪具有更好的适用性和跟踪精度.
其他语种文摘 For the target losing problem caused by shadows during target tracking,an outdoor target tracking method is proposed based on the intrinsic value of a shadow image. A new method is proposed to calculate the intrinsic value of a shadow image based on the derivation of a linear relationship between the pixel values inside and outside the shadow areas. The sequence images are transformed into intrinsic images, which are insensitive to shadows, and then a mean shift tracker is employed to locate the object in the image. Our method doesn't need any of the camera's parameters, and has a high calculation rate. Object-tracking experiments have been done on sequence images with shadows. Compared with other tracking methods, our method has a higher tracking accuracy, and the calculation speed can achieve real-time requirements. The experimental results validate the performance of our method.
来源 信息与控制 ,2014,43(5):604-611 【核心库】
关键词 阴影 ; 目标跟踪 ; 本征值 ; 线性关系
地址

中国科学院沈阳自动化研究所, 机器人学国家重点实验室, 辽宁, 沈阳, 110016

语种 中文
文献类型 研究性论文
ISSN 1002-0411
学科 自动化技术、计算机技术
基金 国家自然科学基金青年基金资助项目 ;  博士后科学基金面上资助项目
文献收藏号 CSCD:5281780

参考文献 共 20 共1页

1.  Jung C R. Efficient background subtraction and shadow removal for monochromatic video sequences. IEEE Transactions on Multimedia,2009,11(3):571-577 被引 13    
2.  Benedek C. Bayesian foreground and shadow detection in uncertain frame rate surveillance videos. IEEE Transactions on Image Processing,2008,17(4):608-621 被引 7    
3.  Luo D. Texture analysis for shadow removing and tracking of vehicle in traffic monitoring system. International Symposium on Intelligent Information Technology Application Workshops,2008:863-866 被引 1    
4.  Leone A. A shadow elimination approach in video-surveillance context. Pattern Recognition Letters,2006,27(5):345-355 被引 3    
5.  Lin P. Vehicle detection and tracking based on fast wavelet transform and Kalman filter. Microcomputer Information,2008,33(23):278-280 被引 1    
6.  Fang L Z. A method to segment moving vehicle cast shadow based on wavelet transform. Pattern Recognition Letters,2008,29(16):2182-2188 被引 5    
7.  Freedman D. Illumination -in variant tracking via graph cuts. IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2005:10-17 被引 2    
8.  Banerjee A. Hyperspectral video for illumination-invariant tracking. First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing,2009:1-4 被引 1    
9.  Jiang H. Shadow resistant tracking using inertia constraints. Pattern Recognition,2007,40(7):1929-1945 被引 1    
10.  常华耀. 一种基于光照无关图的车道检测方法. 北京理工大学学报,2011,30(11):1313-1317 被引 2    
11.  Matsushita Y. Illumination normalization with time-dependent intrinsic images for video surveillance. IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(10):1336-1347 被引 5    
12.  Engelhardt K. Optimum color filters for CCD digital cameras. Applied Optics,1993,32(16):3015-3023 被引 3    
13.  Haneishi H. Color correction for colorimetric color reproduction in an electronic endoscope. Optics Communications,1995,11(4):57-63 被引 1    
14.  Gijsenij A. Color constancy using natural image statistics and scene semantics. IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(4):687-698 被引 15    
15.  Weijer J. Edge based color constancy. IEEE Transactions on Image Processing,2007,16(9):2207-2214 被引 56    
16.  Tian J D. Linearity of each channel pixel values from a surface in and out of shadows and its applications. IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2011:985-992 被引 2    
17.  International Electrotechnical Commission. Multimedia systems and equipment-colour measurement and management - part 2-1: Colour management-default RGB colour space-sRGB, IEC 61966-2-1,1999 被引 1    
18.  Tian J. Outdoor shadow detection by combining tricolor attenuation and intensity. EURASIP Journal on Advances in Signal Processing,2012,2012(1):1-8 被引 1    
19.  Comaniciu D. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,25(5):564-577 被引 770    
20.  Mei X. Robust visual tracking and vehicle classification via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(11):2259-2272 被引 129    
引证文献 2

1 何思远 电力线路相位标志牌的检测和识别 光学技术,2015,41(6):537-542
被引 1

2 管宇 基于正交分解的室外阴影图像恢复 信息与控制,2021,50(3):366-373,384
被引 0 次

显示所有2篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号