Video segmentation algorithm based on superpixel link weight model

被引：13
|
作者：
Pan, Shu-xia [1 ]
Sun, Wang-jie [2 ]
Zheng, Zhigao [3 ]
机构：
[1] Jilin Med Univ, Sch Publ Hlth Coll, Jilin 132013, Jilin, Peoples R China
[2] Jilin Inst Chem Technol, Sch Sci, Jilin 132022, Jilin, Peoples R China
[3] Huazhong Univ Sci & Technol, Serv Comp Technol & Syst Lab, Cluster & Grid Comp Lab, Wuhan, Hubei, Peoples R China
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2017年 / 76卷 / 19期
关键词：
Video segmentation; Superpixel; Motion restriction; Over-segmentation; MOVING OBJECT SEGMENTATION;
D O I：
10.1007/s11042-016-3439-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the traditional segmentation algorithms, this paper proposes unsupervised video segmentation approach. The proposed algorithm applies superpixel to indicate the movement foreground and uses the static features of current frame and the relevant features of adjacent frames to compute the weight. It also brings in the mechanism of superpixel color features match restriction and motion relevance match restriction. The experiment result shows this algorithm can achieve the segmentation of video pictures and effectively solve the problem of over-segmentation.
引用
收藏
页码：19741 / 19760
页数：20
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