摘要
视频运动目标跟踪广泛应用于体育领域中,为了提高运动目标的跟踪精度,提出一种体育视频中的运动目标智能跟踪方法。首先收集体育视频,考虑体育视频中运动目标的多样性,采用改进背景更新差分法对运动目标进行检测,然后采用卡尔曼滤波算法对运动目标进行跟踪,最后对多个体育视频运动目标进行跟踪实验。结果表明,该方法可以准确、快速地对体育视频中的运动目标进行跟踪,而且运动目标跟踪的实时性要优于其他跟踪方法,为体育视频中的运动目标跟踪提供了一种新的研究工具。
Video moving target tracking is widely applied in the sports field.In order to improve the tracking accuracy ofmoving targets,an intelligent tracking method for moving targets in sports video is proposed.Sports videos are collected,the improved background update difference method is adopted to detect moving targets in view of the variability of moving targets insports video,and then the Kalman filtering algorithm is adopted to track the moving targets.Finally,an experiment is carriedout for tracking multiple moving targets in sports video.The results show that by using this method,the moving targets in sportsvideo can be tracked accurately and quickly,and the real-time performance of moving target tracking is superior to that of othertracking methods.This method provides a new research means for tracking the moving targets in sports video.
作者
刘晨
LIU Chen(Wuhan Huaxia University of Technology,Wuhan 430070,China)
出处
《现代电子技术》
北大核心
2017年第19期102-104,108,共4页
Modern Electronics Technique
关键词
体育视频
运动目标
卡尔曼滤波算法
背景更新差分法
检测与跟踪
sports video
moving target
Kalman filtering algorithm
background update difference method
detection and tracking
