Interdrone 2015 Notes: Difference between revisions
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From [[Interdrone 2015]] | From [[Interdrone 2015]] | ||
== Areas for Further Research == | |||
* Dronekit | |||
* DroneCode | |||
== Crowd Analytics through Facial Recognition == | == Crowd Analytics through Facial Recognition == |
Revision as of 18:09, 9 September 2015
From Interdrone 2015
Areas for Further Research
- Dronekit
- DroneCode
Crowd Analytics through Facial Recognition
Eyeris
Software package called ImoVu - Deep Learning architecture for image processes that imitates human recognition
- Vision for Embedded Systems
- 97% accurate
- 140 FPS on i7 processor
- Ambient Intelligence (AML) - Electronic environments that are sensitive and responsive to the presence of people.
- Minimal required resolution for a face: 50x50px, Ideal 70x70px
- Does not use FACS
- Uses OpenCV open source software to identify faces and for some devices, sometimes falls back to the devices facial recognition
- This software is not useful for things or places (only people)
- Allows for
- Access to Hard to reach places
- Large coverage area
- Eye Level
- Improved angles
- Trained For
- 5 Major ethnic groups
- 5 age groups
- 2 genders
- 10 lightning conditions
- 13 head poses
- supervised and unsupervised
- different camera structures
- different resolution
- different face attributes
- Joy
- Surprise
- Sadness
- Disgust
- Anger
- Fear
- Neutral