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Multi Sensor Face Detection and Recognition
bsubbaraman edited this page Oct 31, 2019
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For a Multi-Sensor configuration, take the following steps to get face detection and recognition running:
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Run the person tracking and detection nodes.
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For every sensor, launch the face detection and feature extraction nodes:
roslaunch recognition face_detection_and_feature_extraction.launch sensor_name:="<sensor>"
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Then, start the face recognition node on the master PC.
rosrun recognition face_recognition_node
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To visualize, run recognition_visualization_node:
rosrun recognition recognition_visualization_node.py
- 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: