通过5个摄像头监控曼哈顿的交通?Monitoring Manhattan is traffic from 5 cameras? |
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课程网址: | https://videolectures.net/videos/kdd2016_chen_monitoring_manhatta... |
主讲教师: | Siheng Chen |
开课单位: | KDD 2016研讨会 |
开课时间: | 2025-02-04 |
课程语种: | 英语 |
中文简介: | 有可能在曼哈顿的几个十字路口监控整个交通吗?本文提出了一系列新的图形数据处理技术来处理复杂和非光滑的交通数据。然后,我们在2014年和2015年期间在曼哈顿的出租车皮卡上验证了我们提出的技术。我们只在5个选定的十字路口取样,就可以大致恢复曼哈顿的出租车接送活动。我们认为,同样的技术可以应用于恢复其他类型的流量数据。我们的方法的优点是(a)质量:我们能够从仅5个选定的十字路口恢复整个曼哈顿的出租车接送活动,误差很小;(b) 可扩展性:我们使用树结构和主成分分析,使这种方法对大规模图高效。 |
课程简介: | Is it possible to monitor the entire traffic in Manhattan at a few road intersections? In this paper, we propose a series of novel graph data processing techniques to handle complex and nonsmooth traffic data. Then, we validate our proposed techniques on Manhattan’s taxi pickups during the years of 2014 and 2015. We are able to approximately recover the taxi-pickup activities in Manhattan by taking samples at only 5 selected intersections. We believe that the same techniques can be applied to recover other types of traffic data. The advantages of our methods are (a) quality: we are able to recover the taxi-pickup activities in entire Manhattan with small error from only 5 selected intersections; (b) scalability: we use a tree structure and principle component analysis to make this method efficient for large- scale graphs. |
关 键 词: | 摄像头; 监控交通; 曼哈顿 |
课程来源: | 视频讲座网 |
数据采集: | 2025-03-30:liyq |
最后编审: | 2025-03-30:liyq |
阅读次数: | 3 |