| 摘 要: 视频监控摄像头在现代安防中起到了不可替代的作用，为适应更多环境，摄像头技术也一直在不断发展。本文提出了一种可实现多摄像头画面实时拼接的技术设计方案：基于加速稳健特征算法，实现对视频单帧画面间的特征点进行提取及拼接；使用FFmpeg(Fast Forward Mpeg)媒体处理库进行视频摄像头媒体流文件的分解及最终融合视频的呈现；使用Qt框架实现程序开发及效果展示。经测试表明，该设计方案能在保证不降低画面分辨率的前提下，实现多摄像头的视频画面融合，画面扭曲程度低，为摄像头画面融合提供了一些参考。 |
| 关键词: 加速稳健特征算法；FFmpeg；画面拼接；视频融合 |
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中图分类号: TP311.5
文献标识码: A
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| 基金项目: 浙江省重点研发计划项目(2019C01038). |
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| Surveillance Camera Video Fusion Technology based on Accelerated Robust Feature Algorithm |
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CAO Hengfeng1，PENG Laihu1,2，SHI Weimin1
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( 1.Key Laboratory of Modern Textile Machinery & Technology of Zhejiang Province, Zhejiang Sci-tech University, Hangzhou 310018, China;
2.Hangzhou Qincheng Microelectronics Technology Co ., Ltd., Hangzhou 310018, China )
17826856989@163.com; 43233212@qq.com; swm@zstu.edu.cn
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| Abstract: Video surveillance cameras have played an irreplaceable role in modern security. In order to adapt to more environments, camera technology has been constantly developing. This paper proposes a technical design solution that can realize real-time splicing of images from multiple cameras. Accelerated robust feature algorithm is applied to realize the feature point extraction and splicing between single video frames. FFmpeg (Fast Forward Mpeg) media processing library is used to decompose stream files of video camera media and present the final fusion video. Qt framework is used to develop program and display its effect. Tests show that the proposed solution can achieve multi-camera video picture fusion without reducing picture resolution, with low picture distortion. It provides some references for camera picture fusion. |
| Keywords: accelerated robust feature algorithm; FFmpeg; screen splicing; video fusion |
