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Face Detection and Recognition Data Format
Simeon ADEBOLA edited this page Sep 5, 2018
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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 the stable ID for this track, generated by OpenFace's face recognition (i.e. once recognized, a person will get stable ID for the lifetime of OpenPTrack session) -
face_name
is the name of the identified closest matching face, from faces trained into the system using the drag and drop people registration tool - Units for
x
,y
, andheight
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.
N.B.: The packet replaces the OpenPTrack packet and is sent to the same port.
- 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: