Question 1 of 15

Optical flow estimates:

Question 2 of 15

Brightness constancy assumption in flow means:

Question 3 of 15

SORT tracker associates detections using:

Question 4 of 15

An ID switch in multi-object tracking occurs when:

Question 5 of 15

Lucas–Kanade optical flow assumes:

Question 6 of 15

DeepSORT extends SORT by adding:

Question 7 of 15

Motion boundaries in flow fields appear where:

Question 8 of 15

Kalman filter in tracking predicts:

Question 9 of 15

Dense vs sparse optical flow:

Question 10 of 15

Track lifecycle typically includes:

Question 11 of 15

Temporal redundancy in video means:

Question 12 of 15

Hungarian algorithm in data association solves:

Question 13 of 15

Occlusion breaks brightness constancy because:

Question 14 of 15

Higher frame rate generally helps tracking by:

Question 15 of 15

Flow visualization as HSV color wheel encodes: