首页> 外文期刊>電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding >Moving object detection from video sequence using local motion direction histogram features
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Moving object detection from video sequence using local motion direction histogram features

机译:使用局部运动方向直方图特征从视频序列中检测运动物体

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摘要

In this paper, we considered moving object detection technique from a video sequence that aimed at the content description of the video. For the video retrieval by the keyword, we must beforehand describe names and operations of the object in the video by linguistically information. In the reason, it is necessary to separate the object in the video from the background. The moving object detection technique is one of the most important technologies of the sake. The moving object detection has been studied as an important problem in fields such as the video monitoring. However, the problem of the camera work that appeared in case of the general video was not considered. For this problem, we found that removal of the background and detection of the camera work was possible by using local motion direction histogram features. We confirmed the effectiveness of our method through experimental results.
机译:在本文中,我们考虑了针对视频内容描述的视频序列中的运动目标检测技术。为了通过关键字检索视频,我们必须事先通过语言信息描述视频中对象的名称和操作。因此,有必要将视频中的对象与背景分开。运动物体检测技术是清酒中最重要的技术之一。在诸如视频监视的领域中,已经将运动物体检测作为重要问题进行了研究。但是,没有考虑一般视频情况下出现的相机工作问题。对于此问题,我们发现可以通过使用局部运动方向直方图功能来消除背景并检测相机工作。我们通过实验结果证实了我们方法的有效性。

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