Detection algorithm of potential abnormal targets in housing demolition site

Weijie Wang; Haibin Du; Zhouyu Gu; Anqi Ning; Yuecheng Yu

doi:10.1117/12.2678806

14 April 2023 Detection algorithm of potential abnormal targets in housing demolition site

Weijie Wang, Haibin Du, Zhouyu Gu, Anqi Ning, Yuecheng Yu

Proceedings Volume 12634, International Conference on Optics and Machine Vision (ICOMV 2023); 126340P (2023) https://doi.org/10.1117/12.2678806
Event: International Conference on Optics and Machine Vision (ICOMV 2023), 2023, Changsha, China

Abstract

Abnormal target detection has been widely used in the field of intelligent monitoring, but its application in housing demolition site is still in its infancy. Thus, on the basis of clearly defining the time, space and category of latent anomalous targets in the housing demolition site, detection algorithm of potential abnormal targets in housing demolition site is proposed in this paper. In order to meet the real-time requirements, some lightweight improvements are designed on YOLOX. Firstly, in order to reduce redundant computing, the backbone network is optimized. At the same time, ECA attention module is introduced to improve the information exchange between channels. Secondly, the DAM module is designed to enhance the receptive field of the effective feature map, and the Ghost module is used to replace the standard convolution block. The experimental data set is composed of MOCS dataset, and 3000 images actually taken at the housing demolition site. The experimental results on the dataset show that the FPS and mAP values of our model reach 57.7 and 83.9% respectively, which fully meet the actual needs of site monitoring.

Citation Download Citation

Weijie Wang, Haibin Du, Zhouyu Gu, Anqi Ning, and Yuecheng Yu "Detection algorithm of potential abnormal targets in housing demolition site", Proc. SPIE 12634, International Conference on Optics and Machine Vision (ICOMV 2023), 126340P (14 April 2023); https://doi.org/10.1117/12.2678806

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