四川大学学报：工程科学版2011，Vol.43Issue(4)：95-100,6.
基于腐蚀-膨胀比的视频场景运动状态鲁棒检测
A Robust Approach to Detect Motion Status in Video Scenes Based on Ratio of Erosion and Dilation
摘要
Abstract
The issue of detecting the status of video scenes was studied.First,Gaussian pyramid algorithm was employed to preprocess input frames.By comparing three consecutive inter-frame difference methods,the method that calculated the inter-frame difference on the gray frame images was adopted.According to the spatial distribution of the difference information as well as the morphological features of high intensity points,a new algorithm named Ratio of Erosion and Dilation per Point（REDP） was proposed to detect status change under different videos,which were captured in different scenes,luminance and weather conditions.The experimental results confirmed the effectiveness of indicating whether there are motions in the video.When the proposed approach was applied to the inter-frames,the detection capability of the algorithm can become more robust under an appropriate frame interval.关键词
智能视觉/运动分析/场景状态检测/腐蚀-膨胀比Key words
intelligent vision/motion analysis/detection status of scenes/ratio of erosion and dilation per point分类
信息技术与安全科学引用本文复制引用
陈立平,曹丽萍,黄增喜,刘春玲..基于腐蚀-膨胀比的视频场景运动状态鲁棒检测[J].四川大学学报：工程科学版,2011,43(4):95-100,6.基金项目
教育部新世纪人才支持计划资助项目 （）
国家自然科学基金资助项目 （）
高等学校博士学科点专项科研基金资助项目 （）
博士点新教师基金资助项目 （）
四川省国际合作与交流研究计划 （）
