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

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

Overview of the Research

Overview of the Research

Generated GT and Data for Model

Training the Network Learning rate = 0.000005, frames per video = 1800, 17 videos, night and day, thresholds and clusters(distances), roughly 160 models

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]

Results

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

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

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

Thank you!