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视觉人群监控就像流体力学Visual Crowd Surveillance is Like Hydrodynamics |
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| 课程网址: | http://videolectures.net/acmmm2010_shah_vcs/ |
| 主讲教师: | Mubarak Shah |
| 开课单位: | 中佛罗里达大学 |
| 开课时间: | 2011-02-01 |
| 课程语种: | 英语 |
| 中文简介: |  视频监视和监控是计算机视觉研究中非常活跃的领域。但是，大多数当前方法都假定观察到的场景不拥挤，并且可以在更长的时间内获得可靠的对象跟踪。因此，这些方法无法扩展到人群拥挤的环境（如市场，地铁，宗教节日，游行，音乐会，足球比赛等）中更具挑战性的监视视频，在这些视频中很难追踪单个对象，即使不是不可能。我们提出了一个框架，该框架将高密度人群的流动视为液体的流动，从而促进了流体动力学研究中经常使用的思想和技术的使用。因此，我们将场景中的人的互动视为在三个不同的长度尺度（宏观，介观和微观）上移动液体中的粒子。每个量表都与以下三个问题之一相对应：跟踪个人，发现异常行为和分割人群运动。 |
| 课程简介: | Video Surveillance and Monitoring is very active area of research in Computer Vision. However, most of the current approaches assume that the observed scene is not crowded, and that reliable tracks of objects are available over longer durations. Therefore, these approaches are not extendable to more challenging surveillance videos of crowded environments like markets, subways, religious festivals, parades, concerts, football matches etc, where tracking of individual objects is very hard, if not impossible. We have proposed a framework, which views the flow of a high density crowd like the flow of a liquid, prompting the use of ideas and techniques often found in the study of hydrodynamics. Therefore, we treat interactions of people in the scene like moving particles in a liquid on three different length scales (macroscopic, mesoscopic, and microscopic); each scale corresponding to one of the three problems: tracking individuals, detection of abnormal behaviors, and segmentation of crowd motion. |
| 关 键 词: | 移动粒子; 流体动力学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-16：zyk |
| 最后编审: | 2020-11-16：zyk |
| 阅读次数: | 34 |