Abstract
In this paper, the video data collected by the monitoring system in the urban underground integrated pipe gallery and the sensor data are independent of each other, which leads to the problem that the information value cannot be fully utilized. A character superposition method based on object detection is proposed. The method uses the sensor data as a character in the video, which solves the problem of information island between sensor data and video data. It is verified by experiments that the accuracy of object detection algorithm proposed by this paper is 13.94% higher than that of traditional target detection algorithm, and the false alarm rate is reduced by 14.29%. It solves the problem of accurate monitoring under the complex environment of urban underground integrated pipe gallery.
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Acknowledgment
This work was supported by the science and technology major project of education department of Guangdong province (2017KZDXM052), the Guangdong science and technology major project (2017B030305004).
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Xu, W., Cen, J., Li, H., Zhao, J., Hu, L. (2020). A Character Superposition Method Based on Object Detection. In: Ren, J., et al. Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science(), vol 11691. Springer, Cham. https://doi.org/10.1007/978-3-030-39431-8_31
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DOI: https://doi.org/10.1007/978-3-030-39431-8_31
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