Particle filter

Visual tracking with particle filter method

👨‍🎓 This project was carried out during my master's degree in computer vision at URJC - Madrid

Goals

• Detect the ball by using the particle filter method

Requirements

• Python 3.7+
• numpy ~= 1.21.3
• opencv_python ~= 4.5.5.64

pip3 install -r requirements.txt

Steps

1. Initial considerations
2. Initialisation
3. Evaluation
4. Estimation
5. Selection
6. Diffusion
7. Prediction

More explanations in docs/explanations_esp.pdf (only in spanish)

Usage

With static perturbation

python ./src/main_filter.py --directory="data"

With proportional perturbation

python ./src/main_filter.py --directory="data" -p

Press a key to skip image

Example

Example of the displayed output

Structure

.
├── data
│    └── *.jpg
├── docs
│    └── explanations_esp.pdf
├── imgs
│    └── Screen.png
├── README.md
├── requirements.txt
└── src
    ├── filter_class.py
    ├── main_filter.py
    └── particle_class.py

Authors

• Luis Rosario - Member 1 - Luisrosario2604