MATLAB Code Implementation of Particle Filter

This article presents our custom implementation of a particle filtering algorithm in MATLAB. The program is designed to process video sequences and perform comprehensive testing. Users are encouraged to integrate their own video datasets to evaluate the filter's performance characteristics and advantages. The core implementation includes key components such as particle initialization, importance sampling, weight updating, and resampling mechanisms to handle state estimation in dynamic systems. Additionally, the codebase provides extended functionality for image processing and data analysis, enabling users to gain deeper insights into their datasets. These features include noise filtering, motion tracking, and statistical analysis tools that enhance the overall utility of the particle filter framework. We believe these enhanced capabilities will significantly contribute to improved results in various applications, including computer vision, target tracking, and sensor fusion tasks. The modular code structure allows for easy customization and integration with existing MATLAB workflows.