Interactive Multiple Model-Based Multi-Target Tracking Algorithm

Implementation Code and Algorithm Design for Multi-Target Tracking Using Interactive Multiple Models

Multi-Target Tracking Algorithm Based on Random Hypothesis Probability Filtering

This is the implementation code from my published research paper on target tracking, featuring a multi-target tracking algorithm utilizing random hypothesis probability filtering with Bayesian inference and probabilistic state modeling.

Multi-Object Tracking Algorithm (3D)

A comprehensive and easily understandable 3D multi-object tracking algorithm with complete program implementation, featuring robust state estimation and data association mechanisms for three-dimensional environments.

Multi-Target Tracking Algorithm Implementation in Dynamic Backgrounds

Multi-target tracking algorithm implementation in dynamic backgrounds featuring strong real-time performance and robustness, with comprehensive code-level algorithm descriptions