Gas leak detection in infrared video with background modeling

Xiaoxia Zeng; Likun Huang

doi:10.1117/12.2283429

8 March 2018 Gas leak detection in infrared video with background modeling

Xiaoxia Zeng, Likun Huang

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1061113 (2018) https://doi.org/10.1117/12.2283429
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Background modeling plays an important role in the task of gas detection based on infrared video. VIBE algorithm is a widely used background modeling algorithm in recent years. However, the processing speed of the VIBE algorithm sometimes cannot meet the requirements of some real time detection applications. Therefore, based on the traditional VIBE algorithm, we propose a fast prospect model and optimize the results by combining the connected domain algorithm and the nine-spaces algorithm in the following processing steps. Experiments show the effectiveness of the proposed method.

Citation Download Citation

Xiaoxia Zeng and Likun Huang "Gas leak detection in infrared video with background modeling", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1061113 (8 March 2018); https://doi.org/10.1117/12.2283429

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