MATLAB Code Implementation for Multi-Target Tracking

Resource Overview

MATLAB code for multi-target tracking with accompanying documentation. The background subtraction method enables real-time updates. This implementation performs well for detecting and tracking a small number of targets, but tracking performance significantly degrades when handling more than 8 targets.

Detailed Documentation

This documentation provides MATLAB code for multi-target tracking along with comprehensive documentation. The implementation utilizes a background subtraction method that supports real-time updates through dynamic background modeling. In our experiments, the code demonstrates excellent performance when detecting and tracking a limited number of targets. However, when attempting to track more than 8 targets simultaneously, we observed significant performance degradation due to computational limitations and target occlusion issues. To address these limitations, we recommend integrating this code with supplementary tracking algorithms such as Kalman filtering or particle filtering for improved multi-target handling. Additionally, we suggest implementing code modifications based on specific application requirements, including optimization of detection thresholds, incorporation of feature matching techniques, and adjustment of tracking parameters to enhance practical performance in real-world scenarios.