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عنوان فارسی مقاله:
چشم اندازی مبتنی بر تشخیص عمل کارگران ساختمانی با استفاده از مدار های انبوه
عنوان انگلیسی مقاله:
Vision-based action recognition of construction workers using dense trajectories
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
Productivity in the construction industry has been declining during the past few decades [1]. Since labor accounts for 33–50% of the total cost of a project, their productivity is a key factor in schedule and budget control [2]. One efficient way to manage workers’ performance is to monitor their activity on site, analyze the operation in real time, optimize the work flow dynamically [3–6]. Historical observation can also benefit future worker training and education. To monitor worker activities, current efforts usually lean on foremen collecting information from construction site by means of onsite observations, survey or interview [7]. Post processing is often required to analyze the collected data manually. The entire procedure is labor intensive, cost sensitive and can be prone to error. As reported in [8], for a case study of 870 m2 tiling trade, 336 manual observations are required to measure the six workers’ productivity. The observation has to be made four rounds a day, lasting for 14 days. Not to mention each observation has to record the specific task in detail, as well as the active and inactive time. There is an urgent need of automated activity analysis of construction workers. Recent years, with the prevalence of cameras in construction sites, images and videos become low-cost and reliable information resources. The emerging of computer vision and machine learning technologies enables analyzing construction activities automatically. In the past decade, many researchers have dedicated to this field and made remarkable achievements [9–11]. However, some open challenges remain unsolved. For example, the behavior of construction workers needs to be further explored. Recognition of worker behavior can be performed at various levels of abstraction. As suggested by Moeslund et al. [12], there are ‘‘action primitives”, ‘‘actions”, and ‘‘activities”. An action primitive is an atomic movement usually in limb level, e.g., pick up a brick. An action is composed by a series of action primitives, either sequential different primitives or repetitive single primitive, e.g.,
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کلمات کلیدی:
Vision-based action recognition of construction workers using dense ... dl.acm.org/citation.cfm?id=2991962&CFID=911936885&CFTOKEN=31164215 Aug 1, 2016 - Vision-based action recognition of construction workers using dense trajectories, 2016 Article. Bibliometrics Data Bibliometrics. · Citation Count: ... [PDF]Vision-based action recognition of construction workers using dense ... iranarze.ir/wp-content/uploads/2016/09/E59.pdf Vision-based action recognition of construction workers using dense trajectories. Jun Yang a,*. , Zhongke Shi b, Ziyan Wu a a School of Mechanics, Civil ... Applied Sciences | Free Full-Text | A Comprehensive Review on ... www.mdpi.com/2076-3417/7/1/110/htm by AB Sargano - 2017 Jan 23, 2017 - Another method for recognition of actions of construction workers using dense trajectories was proposed in [67]. In this method, different ... Vision-based action recognition of construction workers using dense ... https://www.semanticscholar.org/...construction.../c77811446d8a5245b1a30bac9d13... Semantic Scholar extracted view of "Vision-based action recognition of construction workers using dense trajectories" by Jun Yang et al. Automatic Recognition of Construction Worker Activities Using Dense ... https://www.semanticscholar.org/...Construction-Worker.../d0c9abe04cf25e0a15486b... As the executors of construction, the activities of construction workers have ... Automatic Recognition of Construction Worker Activities Using Dense Trajectories. [PDF]mcei0392.pdf (2438 K) - Atlantis Press www.atlantis-press.com/php/download_paper.php?id=25867676 A Method Based on Dense Trajectory for Violent Video Classification ... [9] also used dense trajectory for automatic recognition of workers' behavior. ..... Z. Shi, and Z. Wu, “Automatic recognition of construction worker activities using dense. THOTH - Dense Trajectories Video Description - Heng Wang https://lear.inrialpes.fr/people/wang/dense_trajectories We update the dense trajectories code with OpenCV-2.4.2 and ffmpeg-0.11.1. It is much easier to compile now! You can download the latest version and ... Jun Yang's personal homepage - Teacher's homepage of ... jszy.nwpu.edu.cn/en/junyang.html PI: NSFC - Analyzing Activities of Construction Workers and Applications in ... Automatic Recognition of Construction Worker Activities Using Dense Trajectories.
