Title: Fish Species Recognition
1My PhD Research Deborah.Goshorn_at_gmail.com Computer
Science Department, UCSD
- Model defined normal, abnormal person behaviors
based on fused low-level classifier features
Enabling Smart Environment
- Automatic mustering system based on fused
low-level classifier features
- Smart human computer interaction based on fused
low-level classifier features
(Currently three functions)
US Marine Live Fire Exercises Training
Evaluation Automation
Smart Kiosk
Smart Camera Network
Breakthrough PhD Research
turbocharge with high-level classifier
Underwater Fish Species Count Automation
US Marine Posture Recognition
Head Pose Recognition
Head Pose Recognition
US Marine Posture Recognition
Human Posture Recognition
Student Posture Recognition
Hand Posture Recognition
Hand Signal Recognition
...
Face Recognition
Voice Recognition
Face Recognition
Voice Recognition
Color Sign. Recognition
Color Sig. Recognition
Fish Species Recognition
Fish Species Recognition
Multi-class Patch-based Object Recognition
Classifier
Histogram Based Classifier
Spectral Based Classifier
PCA Based Classifier (Eigenfaces)
Multi-class Viola Jones Classifier
Hundreds and hundreds of low-level classifiers
Bold outlines are my developments for PhD
research. Non-bold outlines were applied
successfully.
FPGA implementation