期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

一种基于目标和背景加权的目标跟踪方法 被引量：10

A tracking method based on weighted object and background
原文传递
导出
摘要 Mean shift算法在实际应用中,若目标部分被遮挡或有背景因素干扰,则跟踪精度会降低.鉴于此,将背景和目标本身分别进行加权,通过背景加权改善对目标特征的描述,对目标的不同部位赋予大小不等的权值,有效地提高了Bhattacharyya系数值.从原算法对目标模型的描述出发,将其加入到Mean shift算法的数学模型表达式中.通过算法改进前后的实验结果以及跟踪偏差和迭代次数的比较发现,跟踪效果得到了明显改善. When another object is in front of the object, or there are background disturbances, Mean shift algorithm will slow down the tracking rate or lost the object. Weights are given to the background and the object. By the weight of background, the description of the object＇s characters is improved. Different weights of different parts of the object increase Bhattacharyya value. After analyzing object template, the weights are brought to the mathematical expression of Mean shift. The real experiments and the comparation of tracking errors and iterative times show that the effect of tracking is improved obviously.
作者 陈爱斌 蔡自兴 董德毅
机构地区 中南大学信息科学与工程学院 中南林业科技大学计算机与信息工程学院
出处 《控制与决策》 EI CSCD 北大核心 2010年第8期1246-1250,共5页 Control and Decision
基金 国家杰出青年科学基金项目(51685168) 教育部博士点基金项目(200805330005)
关键词 MEANSHIFT算法 目标加权 背景加权 目标跟踪 Mean shift Weighted object Weighted background Target tracking
分类号 TP39 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献8

  • 1Cheng Y Z. Mean shift, mode seeking, and clustering[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1995, 17(8): 790-799.
  • 2Comaniciu D, Meer P. Mean shift: A robust approach toward feature space analysis[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619.
  • 3李乡儒,吴福朝,胡占义.均值漂移算法的收敛性[J].软件学报,2005,16(3):365-374. 被引量：89
  • 4Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564-577.
  • 5Puzicha J, Rubner Y, Tomasi C, et al. Empirical evaluation of dissimilarity measures for color and texture[C]. Proc 7th Int Conf on Computer Vision. Kerkyra, 1999:1165-1173.
  • 6Kailath T. The divergence and Bhattacharyya distance measures in singal selection[J]. IEEE Trans on Communication Technology, 1967, 15(1): 523-259.
  • 7Lin J. Divergence measures based on the Shannon entropy[J]. IEEE Trans on Information Theory, 1991, 37(1): 145-151.
  • 8文志强,蔡自兴.Mean Shift算法的收敛性分析[J].软件学报,2007,18(2):205-212. 被引量：47

二级参考文献25

  • 1彭宁嵩,杨杰,刘志,张风超.Mean-Shift跟踪算法中核函数窗宽的自动选取[J].软件学报,2005,16(9):1542-1550. 被引量：165
  • 2Comaniciu D, Ramesh V, Meer P. Real-Time tracking of non-rigid objects using mean shift. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 2000. 142-149.
  • 3Comaniciu D, Ramesh V. Mean shift and optimal prediction for efficient object tracking. In: Mojsilovic A, Hu J, eds. Proc. of the IEEE Int'l Conf. on Image Processing (ICIP). 2000. 70-73.
  • 4Comaniciu D, Ramesh V, Meer P. The variable bandwidth mean shift and data-driven scale selection. In: Proc. of the IEEE Int'l Conf. on Computer Vision (ICCV). 2001. 438-445. http://citeseer.csail.mit.edu/comaniciu01variable.html.
  • 5Comaniciu D, Meer P. Mean shift analysis and applications. In: Proc. of the IEEE Int'l Conf. on Computer Vision (ICCV). 1999. 1197-1203. http://citeseer.ist.psu.edu/comaniciu00realtime.html.
  • 6Bradski GR. Computer vision face tracking for use in a perceptual user interface. Intel Technology Journal, 1998. http://developer. intel.com/technology/itj/q21998/articles/art_2.htm.
  • 7Comaniciu D, Meer P. Mean shift: A robust approach toward feature space analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002,24(5):603-619.
  • 8Comaniciu D. An algorithm for data-driven bandwidth selection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003, 25(2):281-288.
  • 9Comaniciu D. Nonparametric information fusion for motion estimation. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 2003. 59-66. http://csdl.computer.org/comp/proceedings/cvpr/2003/1900/01/190010059abs.htm.
  • 10Comaniciu D, Ramesh V, Meer P. Kernel-Based object tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003, 25(5):564-575.

共引文献125

同被引文献101

引证文献10

二级引证文献23

控制与决策
2010年 第8期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部