视频运动目标跟踪方法研究  

Research on Video Moving Target Tracking Method

作　　者：杨军[1] YANG Jun(Northwest University of Political Science and Law,Xi'an Shanxi 710199)

机构地区：[1]西北政法大学,陕西西安710199

出　　处：《软件》2023年第7期144-146,共3页Software

摘　　要：视频运动目标跟踪属于计算机视频模块的重点研究内容,具备较大的应用前景。随着各种新技术融合到目标跟踪方法中,其跟踪准确性得到提升。受到目标形变、遮挡以及尺度变化影响,跟踪失败的问题也时有发生。为了改进视频运动目标跟踪方法,本文系统的阐述了当前视频运动目标跟踪方法的类型,从算法设计流程着手,给出关于视频运动目标跟踪方法的具体设计框架,对未来算法发展方向进行了展望。Video moving target tracking is a key research content of computer video module,and has a great application prospect.With the integration of various new technologies into target tracking methods,their tracking accuracy has been improved.Due to the influence of target deformation,occlusion,and scale changes,tracking failures often occur.In order to improve video moving object tracking methods,this article systematically describes the types of current video moving object tracking methods,starting with the algorithm design process,provides a specific design framework for video moving object tracking methods,and prospects the development direction of future algorithms.

关 键 词：视频运动 目标跟踪 目标提取 卡尔曼滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]