An Improved CLG Algorithm based on HSV Color Model

摘要：

The implementation and optimization of the traditional CLG (Combined local and global) algorithm is always proposed in the gray model. It doesn’t make full use of color information. The same global smoothness factor doesn’t facilitate discontinuity preservation. This paper, firstly, improves the traditional Gradient Constraint Equation; then combines Horn Schunk algorithm and Lucas Kanade algorithm in the HSV color space and chooses adaptive smoothing factor by canny edge detection; finally, comparisons with experiments from the literature demonstrate the favorable performance of the proposed methods with more robustness and 100％ density.

关键词： optical flow CLG HSV medol motion estimation

作者: Danxia Luo Shuqing Li Chao Li

作者单位: Department of Computer Engineering and ScienceShanghai UniversityShanghai, China Department of Computer Engineering and Science Shanghai University Shanghai, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）