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Title : Target-Person-Tracking-System

Target Person Tracking System

On this project, our goal is to integrate face recognition and person tracking, both of which are provided by Openvino. If the programme detects and identifies a specific individual, the software then checks whether the match rate is 70% or higher in relation to a previously trained target. Once this threshold is met (i.e., when the programme confirms the person to be recognized), the software draws a square around the person and continues to track them. Additionally, we utilized data augmentation to train the programme with images of the South Korean actor Wonbin. The integration is presented in merge.py.

Virtual Enviroment

python3 -m venv target_tracking

How to run

python ./face_recognition_demo.py 
-i 0 
-m_fd intel/face-detection-retail-0004/FP16/face-detection-retail-0004.xml 
-m_lm intel/landmarks-regression-retail-0009/FP16/landmarks-regression-retail-0009.xml 
-m_reid intel/face-reidentification-retail-0095/FP16/face-reidentification-retail-0095.xml 
--verbose 
-fg "/home/ubuntu/face_gallery"

requirements.txt

AI model 1.facial recognition

AI model 2.Object Tracking

Image augmentation

Result img

스크린샷 2023-11-03 14-58-07

not Wonbin

스크린샷 2023-11-03 14-58-30

스크린샷 2023-11-03 15-01-30

Wonbin