全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于改进几何活动轮廓模型和Kalman 滤波的目标跟踪方法

, PP. 90-94

Keywords: 模式识别,运动目标跟踪,几何活动轮廓,水平集方法,Kalman滤波

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对几何活动轮廓模型在跟踪时初始化的影响和收敛不准确的问题,将帧间差分和统计量假设后得到的目标外接矩形作为曲线初始值;引入一个强制项,提出一种改进的几何活动模型方法进行目标轮廓拟合,完成检测;结合目标物轮廓曲线和Kalman滤波器实现运动跟踪。试验结果表明以车辆目标外接矩形作为初始化曲线,可简化初始化工作,加快车辆目标的轮廓曲线收敛速度;在收敛过程中引入了一个水平集函数的强制项,可使曲线准确演化到对象边缘的凹陷部分,增强曲线的收敛能力;在运动视频对象的准确轮廓基础上,可更准确地跟踪车辆目标。

References

[1]  Peterfreund N.Robust tracking of position and velocity with Kalman snakes[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(6):564-569.
[2]  郭礼华,袁晓彤,李建华.基于直方图的snake视频对象跟踪算法[J].中国图像图形学报,2005,10(2):197-202. GUO Li-hua,YUAN Xiao-tong,LI Jian-hua.Video object tracking method based on snake model using object's histogram information[J].Journal of Image and Graphics,2005,10(2):197-202.
[3]  罗 嘉,韦志辉.基于几何轮廓模型的目标跟踪与快速运动估计[J].中国图像图形学报,2009,14(7):1361-1369. LUO Jia,WEI Zhi-hui.Tracking and fast motion estimation via geometric active contour model[J].Journal of Image and Graphics,2009,14(7):1361-1369.
[4]  张晓燕,赵荣椿,马志强.基于改进活动轮廓的视频对象自动分割及跟踪算法[J].中国图像图形学报,2007,12(3):438-443. ZHANG Xiao-yan,ZHAO Rong-chun,MA Zhi-qiang.Automatic video segmentation and tracking using a improved active contour[J].Journal of Image and Graphics,2007,12(3):438-443.
[5]  Kass M,Witkin A,Terzopolos D.Snake:active contour models[J].International Journal of Vision,1998,1(4):321-331.
[6]  Caselles V,Catte F,Coll T,et al.A geometric model for active contours in image processing[J].Numeric Mathematic,1993,66(1):1-31.
[7]  Malladi R,Sethian J A,Vemuri B C.Shape modeling with front propagation:a level set approach[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1995,17(2):158-174.
[8]  Chan T F,Vese L.Active contours without edges[J].IEEE Transactions on Image Processing,2001,2(10):266-277.
[9]  Paragios N,Deriche R.Geodesic active contours and level sets for the detection and tracking of moving objects[J].IEEE Transactions on Pattern Analysis and Mathematics Intelligence,2000,22(3):266-280.
[10]  Meuter M,Iurgel U,Park S,et al.The un-scented Kalman filter for pedestrian tracking from a moving host[J].IEEE Intelligent Vehicles Symposium,2008(6):37-42.
[11]  杨艳芳,齐美彬,王 倩,等.基于运动检测与运动搜索的多目标跟踪[J].计算机工程,2008,34(19):222-224. YANG Yan-fang,IQ Mei-bin,WANG Qian,et al.Multi-object tracking based on motion detection and motion search[J].Computer Engineering,2008,34(19):222-224.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133