Acknowledgement
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MEST)(No. 20120000729)
International conference on construction engineering and project management (국제학술발표논문집)
- 2013.01a
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- Pages.587-591
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- 2013
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- 2508-9048(eISSN)
A Study of Object Recognition for the Efficient Management of Construction Equipment
- Hyeok-Jun Ryu (Department of Sustainable Architectural Engineering, Hanyang University) ;
- Suk-Won Lee (Department of Sustainable Architectural Engineering, Hanyang University) ;
- Ju-Hyung Kim (Department of Sustainable Architectural Engineering, Hanyang University) ;
- Jae-Jun Kim (Department of Sustainable Architectural Engineering, Hanyang University)
- Published : 2013.01.09
Abstract
Measuring the process of construction operations for productivity improvement remains a difficult task for most construction companies due to the manual effort required in most activity measurement methods. There are many ways to measuring the process. But past measurement methods was inefficient. Because they needed a lot of manpower and time. So, this article focus on the vision-based object recognition and tracking methods for automated construction. These methods have the advantage of efficient that human intervention was reduced. Therefore, this article is analyzed the performance of vision-based methods in the construction sites and is expected to contribute to selection of vision-based methods.