Identity Switch
A classic failure mode in multi-object tracking in which a tracking algorithm incorrectly carries over a trajectory ID originally assigned to target A to target B in a given frame. Such errors are difficult to detect using trajectory smoothness metrics.
Timeline (last 90 days)
In hand tracking, identity switches are harder to detect than in face or pedestrian tracking, because finger shapes are similar, skin tones are close, occlusions are frequent, and incorrectly stitched trajectories may be completely continuous geometrically, showing no abnormality under conventional metrics.
Identity Switch is a classic failure mode in multi-object tracking, referring to a tracking algorithm in some frame incorrectly continuing the trajectory ID originally assigned to target A onto target B.
Trajectory smoothness metrics (such as acceleration discontinuities and trajectory breaks) are not sensitive to identity switches.
The original poster proposed three ways to handle the case where a tracker undergoes an identity switch: discard the entire recording, cut out the affected segment, or keep it but add an uncertainty label.
For detecting identity switches before training, there is currently no standard answer or cheap verification method.
All Facts (5)
In hand tracking, identity switches are harder to detect than in face or pedestrian tracking, because finger shapes are similar, skin tones are close, occlusions are frequent, and incorrectly stitched trajectories may be completely continuous geometrically, showing no abnormality under conventional metrics.
50%UnverifiedIdentity Switch is a classic failure mode in multi-object tracking, referring to a tracking algorithm in some frame incorrectly continuing the trajectory ID originally assigned to target A onto target B.
50%UnverifiedTrajectory smoothness metrics (such as acceleration discontinuities and trajectory breaks) are not sensitive to identity switches.
50%UnverifiedThe original poster proposed three ways to handle the case where a tracker undergoes an identity switch: discard the entire recording, cut out the affected segment, or keep it but add an uncertainty label.
50%UnverifiedFor detecting identity switches before training, there is currently no standard answer or cheap verification method.
50%