@inproceedings{65113e0cf3834fdda449fc6f0234cd76,
title = "Development of human pose analyzing algorithms for the determination of construction productivity in real-time",
abstract = "To enhance the capability of rapid construction, an automated on-site productivitymeasurement system is developed. Employing the concepts of Computer Vision andArtificial Intelligence, the developed system wirelessly acquires a sequence of imagesof construction activities. The system first processes these images in real-time to generate human poses associated with the construction workers at a project site. The poses are first manually classified into three categories as effective work, ineffective work, and contributory work. Then, a built-in neural network trained on these classifications, determines the worker's status by comparing the in-coming images to the developed human poses. The labor productivity is determined from these comparison statistics. This system has been tested for accuracy on a bridge construction project. The analysis results were accurate as compared to the results of the manual method. This research project made several major contributions to the advancement in construction industry. First, it applied advanced image processing techniques for analyzing construction operations. Second, the results of this research project made possible the automatic determination of construction productivity inreal-time. Thus, an instant feedback to the construction crew was possible. As a result, the capability of rapid construction was improved using the developed technology. Copyright ASCE 2009.",
keywords = "Computer vision, Construction, Neural network, Productivity, Real time",
author = "Abhinav Peddi and Luke Huan and Yong Bai and Seonghoon Kim",
year = "2009",
doi = "10.1061/41020(339)2",
language = "English",
isbn = "9780784410202",
series = "Building a Sustainable Future - Proceedings of the 2009 Construction Research Congress",
pages = "11--20",
booktitle = "Building a Sustainable Future - Proceedings of the 2009 Construction Research Congress",
note = "2009 Construction Research Congress - Building a Sustainable Future ; Conference date: 05-04-2009 Through 07-04-2009",
}