Personnel tracking on construction sites using video cameras
Personnel tracking on construction sites using video cameras
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DOI：
10.1016/j.aei.2009.06.011
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发表时间：
2009-10
期刊：
影响因子：
--
通讯作者：
J. Teizer;P. Vela
中科院分区：
文献类型：
--
作者：
J. Teizer;P. Vela
本文讨论了使用摄像机跟踪建筑工地上的工人的可能性和必要性。对算法及其相关结果进行了评估。本文的主要目的是测试和论证通过静态放置和动态移动的摄像头跟踪工人的可行性。本文还回顾了现有的监控劳动力的技术，并描述了这项工作在工程应用中可能有用的领域。与建筑工地跟踪相关的主要困难是视觉杂乱、一天中不断变化的光度视觉内容以及遮挡和移动障碍物的存在。对摄像机视野内工人的跟踪将涉及四种跟踪技术，密度均值漂移、贝叶斯分割、活动轮廓和图切。典型的建筑工地视频将使用提出的算法进行处理和分析，以确定最适合所呈现视频的跟踪方法。
This paper discusses the possibility of- and need for-tracking workforce on construction jobsites using video cameras. An evaluation of algorithms and their associated results is presented. The principal objective of this paper is to test and demonstrate the feasibility of tracking workers from statically placed and dynamically moving cameras. This paper also reviews existing techniques to monitor workforce and describes areas where this work might be useful in engineering applications. The main difficulties associated with tracking on a construction site is the significant amount of visual clutter, the changing photometric visual content throughout the course of a day, and the presence of occluding and moving obstacles. The tracking of workers within the field of view of the camera will involve four tracking techniques, density mean-shift, Bayesian segmentation, active contours, and graph-cuts. Typical construction site video will be processed using the proposed algorithms and analyzed to determine the most appropriate tracking method for the video presented.