首页> 外文会议>Information and Multimedia Technology, 2009. ICIMT '09 >Motion Salient Detection Based on Region-of-Non-interest Spatial-Temporal Analysis
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Motion Salient Detection Based on Region-of-Non-interest Spatial-Temporal Analysis

机译:基于非感兴趣区域时空分析的运动显着性检测

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Visual attention is usually attracted by the videos which have motion salient regions, so motion is very important to humanȁ9;s visual attention analysis. In this paper we propose a novel method for motion salient region detection by analyzing region-of-non-interest (RONI) spatial-temporal information. RONI is exploited for the first time in this paper. Different from former methods, our approach starts from the RONI, and looks for motion salient regions as their complements. Position as a prior knowledge is used to determine the initial region-of-non-interest (IRONI). Together with bottom-up feature, more exact RONI can be obtained to detect motion salient regions. Experimental results indicate that our scheme can detect motion salient region effectively especially to the videos with complicated camera motion.
机译:具有运动显着区域的视频通常会吸引视觉注意力,因此运动对于人类的视觉注意力分析非常重要。在本文中,我们通过分析非感兴趣区域(RONI)的时空信息,提出了一种用于运动显着区域检测的新方法。本文首次使用了RONI。与以前的方法不同,我们的方法从RONI开始,并寻找运动显着区域作为补充。使用位置作为先验知识来确定初始非感兴趣区域(IRONI)。结合自下而上的功能,可以获得更精确的RONI来检测运动显着区域。实验结果表明,该方案可以有效地检测运动显着区域,特别是对于摄像机运动复杂的视频。

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