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Face Single Camera
bsubbaraman edited this page Jan 14, 2020
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To run face detection and recognition on a single camera, take the following steps:
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Ensure person tracking and detection is running. See here.
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Next, launch the face detection and feature extraction nodes:
roslaunch recognition face_detection_and_feature_extraction.launch sensor_name:="kinect2_head" -
Next start the face recognition node:
rosrun recognition face_recognition_node -
To visualize, run the recognition_visualization_node:
rosrun recognition recognition_visualization_node.py
See here next for some available parameters in the Face Detection and Recognition module.
- 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: