In order to solve the problem of dangerous gas leakage detection, this paper proposes an outdoor leakage gas detection algorithm based on VIBE algorithm. Aiming at the problems in the detection process of the current baseline algorithm, such as low gray contrast between the leaked gas and the surrounding background imaging, the existence of non-gas motion foreground interference, and the serious noise of the detection results, this paper uses the following methods to solve them. Firstly, the infrared source image is enhanced by gas enhancement and background blur to enhance gray contrast through multiple cascade enhancement algorithms. Then, the gas enhancement detection image and the background blur detection image are subjected to differential operation to remove the non-gas motion foreground interference. Finally, the connected domain filtering is performed. Eliminate residual noise and obtain leak gas detection results. This paper conducts comparative experiments and robust detection experiments on a large number of real data. The experimental results show that this paper has stronger detection performance than the baseline algorithm, in which the detection rate and false detection rate are increased by 13.21% and decreased by 5.62%, respectively. The algorithm is time-consuming About 25 ms/frame, meeting real-time requirements. In this paper, the robust detection of outdoor gas leakage is realized by multiple modules such as cascade image enhancement, gas detection and false alarm filtering, which improves the gas detection accuracy and generates intuitive visual information to accurately locate the gas leakage source and escape range., and solves the problem of outdoor dangerous gas leak detection.