基于模糊决策的短跑图视频中特征点轨迹模拟方法  

Research on Simulation Method of Feature Point Trajectory in Dash Chart Video based on Fuzzy Decision

作　　者：李文峰[1] LI Wen-feng(Physical Education Teaching and Research Section of Basic Department,Qingdao Vocational and Technical College of Hotel Management,Qingdao Shandong 266100,China)

机构地区：[1]青岛酒店管理职业技术学院基础部体育教研室,山东青岛266100

出　　处：《淮阴师范学院学报（自然科学版）》2021年第3期235-239,共5页Journal of Huaiyin Teachers College;Natural Science Edition

基　　金：青岛市“双百调研工程”调研课题(2019-B-19)。

摘　　要：提出了一种基于模糊决策的短跑图视频中特征点轨迹模拟方法.在时空信息中进行短跑图视频特征度量目标以及观测间距离特征提取,采用模糊决策方法计算不同目标中心的模糊隶属度,利用模糊综合函数对两种隶属度进行融合,获取模糊综合隶属度.通过模糊决策概念形成纹理特征关联规则和关联规则挖掘短跑图视频中特征点轨迹,完成短跑图视频中特征点轨迹模拟.仿真实验结果表明,所提方法能够提升短跑图视频中特征点轨迹模拟精确度,能够有效降低计算复杂度和绝对误差.Aiming at the fact that the existing trajectory simulation methods of feature points in sprint video cannot meet the accuracy requirements of video processing,a fuzzy decision-based trajectory simulation method of feature points in sprint video was proposed.In spatio-temporal information,the sprint video feature measurement target and the distance feature extraction between observations are performed,and the fuzzy decision method was used to calculate the fuzzy membership of different target centers.The fuzzy comprehensive function was used to fuse the two membership degrees to obtain the fuzzy comprehensive membership degree.The texture feature association rules are formed through the fuzzy decision concept,and the feature point trajectory in the sprint video was mined through the association rule to complete the simulation of the feature point trajectory in the sprint video.The test results show that the proposed method can improve the accuracy of the trajectory simulation of feature points in the sprint video,and effectively reduce the computational complexity and absolute error.

关 键 词：模糊决策 短跑图视频 特征点 轨迹模拟 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]