Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm

TL;DR

This paper presents a novel application of the Fractal Decomposition Algorithm to optimize the dynamic alignment of CCTV cameras in tunnels, ensuring reliable traffic security despite environmental disturbances.

Contribution

It introduces the use of FDA for real-time camera alignment in a tunnel environment, addressing the challenge of dynamic viewpoint changes.

Findings

FDA effectively maintains camera alignment under environmental disturbances

Improves reliability of tunnel traffic security systems

Demonstrates real-world applicability of fractal decomposition in dynamic optimization

Abstract

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.