Object Tracking Using Particle Filter Algorithm
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This documentation provides MATLAB code for object tracking using particle filter algorithm. Compared with conventional tracking methods, particle filter algorithm demonstrates superior performance in estimating target object's position, velocity, and acceleration parameters, making it widely applicable across various scenarios. Our implementation leverages MATLAB's computational efficiency to achieve high-performance real-time tracking while offering extensive parameter configuration options to accommodate diverse application requirements. The codebase features detailed inline comments and comprehensive documentation to facilitate user understanding and implementation, including explanations of key functions such as particle initialization, weight updating, and resampling procedures. Additionally, we provide implementation insights about state transition models and observation likelihood functions that form the core of the particle filter framework.
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