1. Week 3: Moving Target Detection Using Infrared Sensors
Project Leaders: Dr. Mahalanobis and Babak
REU Student: Arisa Kitagishi

2. Outline Very brief overview of our research What I have done so far
Our progress
Further plans

3. Overview of the Research

4. Overview of the Research

5. Generated GT and Data for Model

6. Training the Network
Learning rate = , frames per video = 1800, 17 videos, night and day, thresholds and clusters(distances), roughly 160 models

7. Testing the Network Model 18 Thresholds: [0.2, 0.4, 0.05]
Precisions: [0.495, 0.513, 0.367]
Recalls: [0.664, 0.571, 0.364]
Average false alarms per frame: [0.726, 0.222, 0.632]
Model 12
Thresholds: [0.2]
Precisions: [0.483]
Recalls: [0.715]
Average false alarms per frame: [1.180]

8. Results

9. Overall Progress:
Our goal: achieve 80% or more recalls with less than 0.1 false alarm rate

10. Overall Progress:
Our goal: achieve 80% or more in accuracy with less than 0.1% false alarm rate

11. Further Plans: Modify data loader to include more ranges
Achieve the goal including the other ranges
Testing with different hyperparameters and models

12. Thank you!