Exploring Causal Relationships in Visual Object Tracking

no code implementations • ICCV 2015 • Karel Lebeda, Simon Hadfield, Richard Bowden

We show that the location predictions are robust to camera shake and sud- den motion, which is invaluable for any tracking algorithm and demonstrate this by applying causal prediction to two state-of-the-art trackers.

Object Visual Object Tracking