Particle Filter Color Tracker
A simple example demonstrating how to track an object with particle filter. Likelihood function is based on Bhattacharya distance of color histograms and gradient distributions
Please run mexme_pf_color_tracker to recompile mex-files on your own plateform.
Run the two demo files test_pf_colortracker and test_pf_colortracker2
IMPORTANT. Be sure than you "mex -setup" had been done before compiling sources
Cite As
Sebastien PARIS (2024). Particle Filter Color Tracker (https://www.mathworks.com/matlabcentral/fileexchange/17960-particle-filter-color-tracker), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- FPGA, ASIC, and SoC Development > Vision HDL Toolbox >
- Image Processing and Computer Vision > Vision HDL Toolbox >
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Version | Published | Release Notes | |
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1.9.0.0 | Fixed for modern Matlab and OS64 |
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1.8.0.0 | Changed int pointers to mwIndex for being 64bits compatible |
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1.7.0.0 | -add #define max & min for LCC compiler |
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1.6.0.0 | -Add likelihood based on gradient distribution
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1.5.0.0 | -Add Linux64 with GCC support |
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1.2.0.0 | -Minor changes |
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1.0.0.0 | Add missing file |