Multi-stage context-guided semantic segmentation in construction sites

Zhenguo Hou; Weitao Yang; Jianan Li; Chong Long; Zheng Wang

doi:10.1117/12.3009426

16 October 2023 Multi-stage context-guided semantic segmentation in construction sites

Zhenguo Hou, Weitao Yang, Jianan Li, Chong Long, Zheng Wang

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128033F (2023) https://doi.org/10.1117/12.3009426
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Semantic segmentation refers to the segmentation of different objects within images to obtain a semantic interpretation of each pixel position based on semantic information. With the development of artificial intelligence and computer vision, intelligent visual surveillance solutions for construction sites are playing an increasingly prominent role in site monitoring. For this purpose, we propose a semantic segmentation network for intelligent scene perception in construction sites. The features are extracted with the residual block and channel-wise feature aggregation module, thus obtaining multi-scale features with rich information. Then, high-level futures are further enhanced with long-range contextual information, which is adopted as guidance for the decoding process. Experimental results show that the proposed network can efficiently process construction site scenes in real-time and has important practical applications.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenguo Hou, Weitao Yang, Jianan Li, Chong Long, and Zheng Wang "Multi-stage context-guided semantic segmentation in construction sites", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128033F (16 October 2023); https://doi.org/10.1117/12.3009426

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