Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm
This work addresses a domain-specific problem for traffic security systems, but it is incremental as it applies an existing method to a new real-world scenario.
The paper tackled the dynamic camera alignment problem in a tunnel using the Fractal Decomposition Algorithm to ensure correct functioning of video-based traffic security systems, achieving alignment under changing viewpoints due to factors like wind and maintenance.
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.