Figure 1.
Lab model
Figure 2.
Car2 image and other spectra
Figure 3.
Results and spectra of transverse and longitudinal cyclic assignments of Fourier transforms
Figure 4.
Display effect of Car2 image with cosine window
Figure 5.
Image spectrum changes after Car2 image plus window
TABLE I.
Challenges in different video sequences
| Challenge | deformation | Illumination | Motion blur | Fast moving | Background clutter | Out of plane | In-plane rotation |
|---|---|---|---|---|---|---|---|
| video | |||||||
| freeman4 | × | × | × | × | × | √ | √ |
| singer1 | × | √ | × | × | × | √ | × |
| singer2 | √ | √ | × | × | √ | √ | √ |
| blurFace | × | × | √ | √ | × | × | √ |
Figure 6.
Tracking effect of target in Freeman4 sequence
Figure 7.
Tracking effect of target in singer1 sequence
Figure 8.
Tracking effect of target in singer2 sequence
Figure 9.
Target tracking effect in the blurFace video sequence
Figure 10.
Shows the success rate and accuracy of all video sequences evaluated using OPE
Figure 11.
Success rate and accuracy of OPE evaluation under target deformation
Figure 12.
Success rate and accuracy of OPE evaluation under varying lighting conditions
Figure 13.
Success rate and accuracy of OPE evaluation in motion blur case
Figure 14.
Graph of success rate and accuracy evaluated using OPE in the case of fast movement
Figure 15.
Success rate and accuracy of OPE evaluation in cluttered background
Figure 16.
Success rate and accuracy of OPE evaluation for out-of-plane rotation
Figure 17.
Success rate and accuracy of OPE evaluation for in-plane rotation