A comer matching method based on feature optical flow and weighted Hausdorff distance
This paper presents a corner matching method based on feature optical flow estimation and weighted Hausdorff distance. First of all, the feature corners are extracted. In order to make the corners distribute evenly, image partitioning and neighboring corner being eliminated are adopted. Secondly, judging from the improved approach of feature optical flow estimation, the local optical flow estimation on the corners can be calculated, rough optical flow vectors are gained and approximate matching of the corners is achieved. At the last, through the introduction of the corner response function, a weighted Hausdorff distance method is proposed. In this way, the corners of the two images can be accurately matched. The experimental results show that the presented method can reduce the computational complexity and raise matching precision, and then the precise moving object tracking is realized.
corners matching optical flow estimation motion object tracking weighted Hausdorff distance
Qian-Qian Cao Guang-Cheng Cai Dan-Dan Ke
Faculty of Science Kunming University of Science and Technology Yunnan, China 650500
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1303-1307
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）