Image Understanding for Prevention of Vandalism in Metro Stations

Image Understanding for Prevention of Vandalism in Metro Stations
复制标题

预防地铁站破坏行为的图像理解

DOI:
10.1007/978-1-4615-5085-3_10
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发表时间:
1999
期刊:
Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289)
影响因子:
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通讯作者:
Thonnat Monique
Thonnat Monique
中科院分区:
--
文献类型:
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作者:
Nicolas Chleq;F. Brémond;Thonnat Monique

文献摘要

被引文献

相似文献

我们在这里解决的问题,开发一个解释系统描述自动人类活动的图像序列。我们感兴趣的应用类别是通过单目摄像机观察地铁站场景的自动监视和监控。给定图像序列,解释系统必须识别与场景中检测到的移动的对象的行为相关的场景。在我们的例子中,移动的对象对应于人类,场景描述了人类的活动。
We address here the issues of developing an interpretation system describing automatically human activities from image sequences. The class of applications we are interested in, is the automatic surveillance and monitoring of metro stations scenes observed by a monocular camera. Given image sequences, an interpretation system has to recognize scenarios relative to the behaviours of mobile objects detected in the scene. In our case, the mobile objects correspond to humans and the scenarios describe human activities.