Detecting intended human objects in human-captured videos
Detecting intended human objects in human-captured videos
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DOI：
10.1109/cvprw.2010.5543721
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发表时间：
2010-06
期刊：
影响因子：
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通讯作者：
Yuta Nakashima;N. Babaguchi;Jianping Fan
中科院分区：
文献类型：
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作者：
Yuta Nakashima;N. Babaguchi;Jianping Fan
当人们拍摄视频时，他们总是希望捕捉预期对象，这对于在视频中呈现他们想要表达的内容至关重要，并与他人分享预期对象。意图对象的概念为视频内容分析提供了一个新的视角，意图对象的检测对于视频理解和语义解释、视频摘要、视频自适应、视频隐私保护等方面都有着重要的应用价值。预期的人类对象，并且开发了一种有趣的方法用于从人类捕获的视频中自动检测预期的人类对象。我们还调查了预期的人类对象和视觉注意之间的相关性。我们的实验结果表明，我们的方法可以成功地检测到预期的人体对象。
When people take videos, they always want to capture intended objects, which are essential for presenting what they want to express in their videos, and to share the intended objects with others. The concept of intended objects provide a novel perspective for video content analysis, and detecting intended objects may be beneficial for wide range of applications such as video understanding and semantics interpretation, video summarization, video adaptation, video privacy protection, and so on. In this paper, we focus on a particular type of intended objects, i.e., intended human objects, and an interesting method is developed for detecting intended human objects automatically from human-captured videos. We also investigate the correlation between intended human objects and visual attention. Our experimental results indicate that our method can successfully detect the intended human objects.