以多目标优化的轮廓定位分割视频对象

宋立锋; 韦岗; 王群生

以多目标优化的轮廓定位分割视频对象

计量
- 文章访问数: 2440
- HTML全文浏览量: 129
- PDF下载量: 702
- 被引次数: 0
出版历程
- 收稿日期: 2000-11-24
- 修回日期: 2002-03-25
- 刊出日期: 2002-11-19

Segment video objects by contour locating of multiobjective optimization

摘要

摘要: 该文提出一种用于半自动分割视频对象的对象跟踪方法,它以方块均方色差和图像像素边缘强度构造目标函数,把对象轮廓点的运动估值和补偿表达为用带容错的分层排序法实现多目标优化,从而确定与参考帧对象轮廓点对应的当前帧像素为轮廓点;以边缘强度最大为目标将这些轮廓点连接成闭合曲线,从而得到当前帧的对象分割掩膜,用这种方法处理多个视频测试序列得到满意结果。
- 视频对象分割; 半自动视频对象分割; 对象跟踪; 多目标优化; 运动估值和补偿
Abstract: An object tracking method for semiautomatic video object segmentation is proposed in this paper. An objective function is constructed with mean square color error of blocks and edge strength of pixels. Then a multilevel ordering method with permissive error is used to accomplish the programming of this objective function so as to realize motion estimation and compensation of contour pixels. Thus the pixels in the current frame, which correspond to the contour pixels in the reference frame, are found out. As the contour pixels in the current frame, these pixels are connected to form a close curve by an objective of maximal edge strength. Thus the segmentation mask of the current frame is generated. The experimental results of this method on several test sequences are satisfactory.

HTML全文

参考文献(1)

R. Mesh, M. Wollborn, A noise robust method for 2D shape estimation of moving objects in video sequences considering a moving camera, Signal Processing, 1998, 66(2), 203-217.[2]A. Neri, et al., Automatic moving object and background separation, Signal Processing, 1998,66(2), 219-232.[3]M. Kim, et al., A VOP generation tool: automatic segmentation of moving objects in image sequences based on spatio-temporal information, IEEE Trans. on CAS VT, 1998, 9(8), 1216-1226.[4]C. Toklu, et al., Semiautomatic video object segmentation in the presence of occlusion, IEEE Trans. on CAS VT, 2000, 10(4), 624-629.[5]D. Zhong, S. F. Chang, An integrated approach for content-based video object segmentation and retrieval, IEEE Trans. on CAS VT, 1998, 9(8), 1259-1268.[6]C. Gu, M. C. Lee, Semiautomatic segmentation and tracking of semantic video objects, IEEE Trans. on CSVT, 1998, 8(5), 572-584.[7]ISO/IEC JTC1/SC29/WG11 14496-2 FDAM 1. Information Technology-Coding of Audio-Visual Objects-Part 2: Visual/Amendment 1. N3056, Maui, Dec. 1999, Annex F: 452-462.[8]F. Leymarie, M. D. Levine, Tracking deformable objects in the plane using an active contour model, IEEE Trans. on PAMI, 1993, 15(6), 617-634.[9]赵雪春,戚飞虎,用可变形模板进行基于内容的图像分割算法,电子学报,2000,28(4),69-72.[10]A.M.Tekalp,Digital video processing,Prentice Hall,Inc.,1998,Chapter 7:118.[11]林锉云,董加礼,多目标优化的方法与理论,长春,吉林教育出版社,1992,第四章,83-87. ［12］J.Canny,A computational approach to edge detection,IEEE Trans.on PAMI,1986,8(6),679-698.[12]吕凤军,数字图像处理编程入门-做一个自己的Photoshop,北京,清华大学出版社,1999,第6章,第7章.[13]J. Liu, Y. H. Yang, Multiresolution color image segmentation, IEEE Trans. on PAMI, 1994,16(7), 689-700.[14]ISO/IEC JTC1/SC29/WG11, ETRIs user-assisted video object segmentation tool. M4479,Seoul, Mar. 1999.

施引文献

资源附件(0)

访问统计