A computer vision-based scene recognition algorithm is proposed for monitoring construction sites. The system analyzes images acquired from a surveillance camera to separate regions and classify them as building, ground, and hole. Mean shift image segmentation algorithm is tested for separating meaningful regions of construction site images. The system would benefit current monitoring practices in that information extracted from images could embrace an environmental context.
This work (NRF-2014R1A2A1A11052499) was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP). The authors would like to thank Yonsei University for granting access to the construction site of the Baekyang-ro Project.