Video Compression Approach for Apron Surveillance in Bad Weather

摘要

Surveillance occupies an important position in intelligent airport development. However, surveillance video storage puts much pressure on the airport. Apron surveillance video is a common type of airport surveillance video. In this paper, we propose a video compression approach for apron surveillance in bad weather. In this approach, the video storage structure has changed and is divided into three layers: a static layer, an object layer and an environment layer. Such a storage structure can reduce the video storage space. The approach also stores semantic information that can be used in subsequent research. To validate our approach, we conduct experiments on different apron surveillance videos. Experimental results show that the proposed approach can outperform the widely used video coding standards H.264 and MPEG-4 in terms of the SSIM index and PSNR.