Applied Research in Elder Lab

1. Applied Research in Elder Lab • Attentive wide-field sensing • Geomatics – Choosing texture maps for rendered terrains York CVR/DRDC Joint Workshop

2. Attentive Surveillance Sensor Prototype 1 Foveal Panoramic York CVR/DRDC Joint Workshop

3. Artificial Attentive Sensing York CVR/DRDC Joint Workshop

4. Space-Time Mosaics York CVR/DRDC Joint Workshop

5. Motion Tracking in Attentive Sensor York CVR/DRDC Joint Workshop

6. Non-Parametric Background Subtraction Gaussian mixture model for background and foreground processes is learned by incremental Expectation Maximization (EM): Learned distributions for 2 sample pixel processes in the scene over the consecutive 700 frames Pixels are classified as foreground or background using a maximum a posteriori classifier (MAP): York CVR/DRDC Joint Workshop

7. Non-parametric Background Subtraction for Face Detection Some Results Learned Background Learned Foreground Original Frame Segmented Frame York CVR/DRDC Joint Workshop

8. Example York CVR/DRDC Joint Workshop

9. 1000 ms 59 ms 506 ms Until Response What do we see in a glance? Psychophysical Method York CVR/DRDC Joint Workshop

10. 12% Base = 52% 10% 8% Contribution 6% 4% 2% 0% Colour Local Features Familiarity Global Low-Level Completeness Global High-Level Factor What do we see in a glance? Results York CVR/DRDC Joint Workshop

11. Geomatics: Texture mapping terrain to optimize visual judgments of surface attitude York CVR/DRDC Joint Workshop

12. The Challenge: Enhanced/Synthetic Vision for Aviation York CVR/DRDC Joint Workshop

13. Experiment 1 - Textures Multi-scale random rectilinear (1D 1/f) Multi-scale random disks Multi-scale regular rectilinear Multi-scale random (2D 1/f) Single-scale random (2D bandpass) Single-scale random rectilinear (1D bandpass) Single-scale random disks Single-scale regular rectilinear York CVR/DRDC Joint Workshop

14. Experiment 1 Multi-scale random disks Slant: 40°, Tilt: 90° Simulated distance: 26 m Multi-scale random disks Slant: 40°, Tilt: 90° Simulated distance: 228 m York CVR/DRDC Joint Workshop

15. 4 20 Multi-scale 3.5 Single-scale 10 3 2.5 0 2 Log (range of viewing distances) -10 1.5 Mean Slant Error (Degrees) -20 1 0.5 Range: multi-scale -30 0 Range: single-scale -40 -50 0 2 4 10 10 10 scale random rectilinear scale random disks scale random scale random rectilinear scale random disks scale regular rectilinear Simulated Distance (Meters) scale random scale regular - - - - - - - - rectilinear Single Single Single Single Multi Multi Multi Multi Texture Experiment 1 Results York CVR/DRDC Joint Workshop

16. Understanding the human perception of fused displays York CVR/DRDC Joint Workshop

17. Transparency is used in ESVS systems to convey multiple streams of data on a single display York CVR/DRDC Joint Workshop

18. How do humans perceive fused terrain displays? York CVR/DRDC Joint Workshop

19. Perceived slant of fused surfaces can be predicted by optimal estimation model Slant relative to mean slant (deg) Perceived slant of surface B alone Perceived slant of surface A alone Optimal fusion estimator Slant Difference (deg) York CVR/DRDC Joint Workshop