论文标题
基于分形分解算法的动态摄像机对齐优化问题
Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm
论文作者
论文摘要
在这项工作中，我们使用最近引入的动态优化算法（DOA）解决了现实世界应用中IA的动态优化问题（DOA），该算法（DOA）最近引入了最近引入的。我们使用FDA从隧道上从CCTV摄像机供稿进行IA。由于摄像机的观点可以通过多种原因（例如风，维护等）变化。需要对齐以确保基于视频的交通安全系统的正确功能。
In this work, we tackle the Dynamic Optimization Problem (DOP) of IA in a real-world application using a Dynamic Optimization Algorithm (DOA) called Fractal Decomposition Algorithm (FDA), introduced by recently. We used FDA to perform IA on CCTV camera feed from a tunnel. As the camera viewpoint can change by multiple reasons such as wind, maintenance, etc. the alignment is required to guarantee the correct functioning of video-based traffic security system.
