-
Notifications
You must be signed in to change notification settings - Fork 67
Face Detection and Recognition Data Format
Simeon ADEBOLA edited this page Sep 3, 2018
·
10 revisions
This is an example of face detection and recognition's data format:
{
"header": {
"seq": 71251,
"stamp": {
"sec": 1415305737,
"nsec": 110138944
},
"frame_id": "world"
},
"tracks": [{
"id": 387,
"stable_id": 1147,
"face_name": "Sam",
"x": -0.89131,
"y": 2.41851,
"height": 1.55837,
"age": 29.471,
"confidence": 0.0500193
}]
}- ID is the unique identification associated with the track.
- stable_id is stable ID for this track, supported by OpenFace face recognition, if configured in OpenPTrack (i.e. once recognized, a person will get stable ID for the lifetime of OpenPTrack session)
- face_name is
- Units for x, y, and height are meters, which is true across all the other JSON message types provided in OpenPTrack.
- Age is how long that ID has been active for.
- Confidence represents the system's calculation of how reliable the track is. It refers to the OpenPTrack tracking confidence, and is unrelated to face detection/tracking.
- 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: