Particle Filter Target Tracking Algorithm
MATLAB-based particle filter target tracking algorithm implementation with detailed code examples, particularly useful for beginners in computer vision and tracking systems
Two Target Tracking Algorithms: Motion Change and HSI Color Space Meanshift with Gaussian Weights
Implementation of two target tracking approaches - motion change detection and meanshift algorithm using HSI color space with Gaussian weighting for enhanced color distribution modeling
Enhanced Object Tracking Algorithm Using Improved Statistical Models
We developed an enhanced object tracking algorithm by optimizing statistical models and feature extraction methods, achieving superior comprehensive tracking performance through parameter tuning and robustness improvements.
Kalman Filter-Based Target Tracking Algorithm for Wireless Sensor Networks
Wireless sensor network target tracking algorithm employing Kalman filtering techniques, including Standard Kalman Filter, Extended Kalman Filter, and Unscented Kalman Filter implementations with code-level explanations
Current Statistical Model-Based Target Tracking Algorithm
Target tracking algorithm based on current statistical model using Kalman Filter - suitable for professionals working in target tracking and data integration fields
Comprehensive Collection of Resources Based on the Mean Shift Algorithm
This represents a meticulously curated compilation of Mean Shift algorithm resources assembled over an extended period. The collection includes detailed Word documents, comprehensive PPT presentations, MATLAB implementations of Mean Shift-based object tracking algorithms, and relevant research articles. The repository features practical code implementations demonstrating core Mean Shift operations such as kernel density estimation, mode seeking procedures, and trajectory optimization for visual tracking applications.
WSN Target Tracking Algorithms Using UP, UPF, and CRPF Approaches
Implementation of WSN target tracking algorithms based on Unscented Particle (UP), Unscented Particle Filter (UPF), and Cost Reference Particle Filter (CRPF) methodologies, with detailed explanation of the CRPF-based tracking procedure.