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基于运动轨迹分析的监控视频关键帧提取
引用本文:张云佐. 基于运动轨迹分析的监控视频关键帧提取[J]. 电视技术, 2016, 40(8): 118-121. DOI: 10.16280/j.videoe.2016.08.023
作者姓名:张云佐
作者单位:石家庄铁道大学信息科学与技术学院,河北石家庄,050043
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:当前,从海量监控视频中高效、准确地提取关键帧是一项极具挑战性的课题,为此提出了一种基于运动轨迹分析的监控视频关键帧提取方法.给出了该方法的实现过程,并进行了实验与分析.结果表明,所提出的方法在关键帧提取准确性上优于当前的主流方法.

关 键 词:尺度变化  方向变化  时空切片  运动轨迹  关键帧提取
收稿时间:2015-11-27
修稿时间:2015-11-27

Surveillance Video Key Frame Extraction Based on Motion Trajectory Analysis
ZHANG Yunzuo. Surveillance Video Key Frame Extraction Based on Motion Trajectory Analysis[J]. Ideo Engineering, 2016, 40(8): 118-121. DOI: 10.16280/j.videoe.2016.08.023
Authors:ZHANG Yunzuo
Affiliation:School of Information Science and Technology, Shijiazhuang Tiedao University
Abstract:Currently, efficient and accurate key frame extraction for massive videos remains a challenge, especially in surveillance applications. Motivated by this observation, a method for surveillance video key frame extraction based on motion trajectory analysis is proposed. The implement of the proposed method is illustrated in detail, and the subjective and objective performances are compared with the state-of-the-art method. Experimental results have demonstrated that the proposed method outperforms existing state-of-the-art method in terms of accuracy for key frame extraction while requiring a comparable or even less computation time.
Keywords:Scale change   Direction change   Spatiotemporal slice   Motion trajectory   Key frame extraction
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