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Face Parameters
The Face Detection and Recognition module comes with a drag-and-drop people registration tool for predefined people recognition. To use this tool run:
rosrun recognition drag_and_drop.py
The following topics are available:
/face_recognition/people_tracks
/face_recognition/people_names
people_tracks contains tracked people. The data are same as /tracker/people_tracks except that people IDs are replaced according to face recognition results. If a person ID is larger than 10000, it means that his/her face has not been recognized by the system yet.
people_names is the result of predefined people recognition. It contains associations between people IDs and predefined people names.
See here next for guidelines on running Face Detection and Recognition in a Multi-Sensor configuration
- System Requirements
- Supported Hardware
- Initial Network Configuration
- Example Hardware List for UCLA Setup
- Making the Checkerboard
- Time Synchronization
- Pre-Tracking Configuration
- Camera Network Configuration
- Single Camera
- Setting Parameters
- Multi-Sensor Person Tracking
- HOG vs YOLO Detectors
- World Coordinate Settings
- Single Camera
- Pose Initialization
- Multi Sensor Pose Annotation
- Pose Best Practices
- Setting Parameters
- Single Camera
- Setting Parameters
- Multi Sensor Object Tracking
- YOLO Custom Training & Testing
- Yolo Trainer
- Single Camera
- Setting Parameters
- Multi Sensor Face Detection and Recognition
- Face Detection and Recognition Data Format
How to receive tracking data in: