Contour Tracking Based on Online Feature Selection and Dynamic Neighbor Region Fast Level Set

摘要：

A novel contour tracking algorithm is proposed in this paper. The algorithm first coverts the input image into sixteen different color feature spaces and adopts Fisher discriminating rule to adaptively select the top-ranked three discriminative feature spaces who can discriminate the target region and its neighbor background region best, then adopts the nearest neighbor decision method to construct the velocity expression of fast level set only in target region and its neighbor background region but not the whole image plane, finally, contour tracking is realized by evolving the zero level set curve using dynamic neighbor region fast level set algorithM which is proposed in this paper. Experiments show that this algorithm can track target contour under conditions of moving background, illumination variation, partial occlusion and the scale and shape change of target

关键词： contour tracking fisher discriminating rule online feature selection fast level set

作者: Zifu Wei Duyan Bi Shan Gao Jianjun Xu

作者单位: College of Engineering Air force Engineering University Xian, China

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 238-243

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）