.png){kind=icon}
返回
Robust object tracking via superpixels and keypoints
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-018-5770-6.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Most of the part-based methods just use the initial appearance model and feature information of the object. When the object is affected by occlusion, deformation and illumination factors, these methods can not be stable to the tracking object. In this paper, a tracking method is proposed based on keypoint matching and superpixel matching. Our method not only uses the initial feature information of the object, but also uses the feature information between adjacent frames. We use the superpixel to over-segment the candidate region which can be obtained by voting between the globally matched feature points, and then construct superpixel descriptors. The similarity between superpixels is based on the distance of the superpixel feature descriptor. Eventually, the object is selected according to the superpixel vote. Furthermore, we use qualitative and quantitative evaluations to evaluate our method on 18 challenging image sequences. Experimental results show that the proposed method outperforms 6 state-of-the-art tracking algorithms.
Keyword:
Superpixels
Keypoints
Object tracking
Fusion vote
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
Catecholamines-crafty weapons in the inflammatory arsenal of immune/inflammatory cells or opening pandora's box儿茶酚胺——免疫/炎症细胞炎症武器库中的狡猾武器，抑或打开潘多拉魔盒？.png)
IF0
PREAI
分享收藏分享收藏
分享收藏
查看更多内容