P2-3-1
MOTION ANALYSIS ON THE CONSTRUCTION PLANT USING SEQUENTIAL IMAGES
Sosuke YOSMDA, Hirofumi CHDCATSU
Department of Civil Engineering
Tokyo Denki University
JAPAN
sosuke@g. dendai ac.jp
Commission V, Working Group IC V/III
KEY WORDS: Ergoma System, Morphology, Feature Extraction, Work Analysis, Motion Analysis, Sequential Images
ABSTRACT
Recently, reduction of the construction cost and insufficiency of skilled hands are becoming serious problems on the construction plant
from the point of view of the work efficiency. With this motive, the authors have been developing an ergoma system for improvement of
working environment or evaluation of the work efficiency on the construction plant using sequential images. However, an extraction of
the feature points under insufficient image quality that was caused by radiation of welding or burnishing is still issue that needs to be
resolved.
This paper describes an automated extraction method of the feature points using opening in morphological image processing, and shows
human motion analysis on the construction plant.
1 INTRODUCTION
Recently, reduction of the construction cost and insufficiency of
skilled hands are becoming serious problems on the construction
plant from the point of view of the work efficiency. In these
circumstances, an ergoma system has recently received more
attention from the point of view of the improvement of working
environment or evaluation of the work efficiency. An ergoma is a
coined word by ergonomics and management. In order to develop
an ergoma system, a video camera is expected to become useful
tool since a video image sequences often give important
information to human motion analysis. However, generally
welding and burnishing on the construction plant are attached
with strong radiation, and radiation causes insufficient image
quality. Then, image processing procedure for extracting the
human feature points during welding or burnishing should be
resolved. For this issue, welding and burnishing were performed
on the construction plant and these working sequential images
were taken using two video cameras.
This paper describes an automated extraction method of the
feature points using opening in morphological image processing,
and shows human motion analysis during welding and burnishing
2 EXPERIMENTS
In order to develop an ergoma system on the construction plant,
welding and burnishing for horizontal and vertical steel pipes
were performed respectively and sequential images for each work
were taken using two video cameras. Fluorescence tapes were put
on the head (helmet), waist and arms as feature points. However,
fluorescence tape was put on the head (helmet) are used for
developing an automatic extraction method in this paper. Figure
1 shows the test site. Figure 2 shows an image acquired by video
camera, and the square targets in the Figure 2 are control points
for camera calibration. Figure 3 shows the system configuration
that was used in this investigation.
In this system, the LVR (Laser Videodisc Recorder) has function
for playing back and stop per a frame and connecting with
another machines and tools such as PC or Video camera. Then,
the original video images copied to the digital CRVdisc
(Component Recording Videodisc) for the LVR (Laser Videodisc
Horizontal steel pipe
Vertical steel pipe
Left video camera
Right video camera
Figure 1 The test site.
Figure 2 Image on the test site
