Skip to Content

Robust Real-time Discriminative method-based Visual Tracking for UAVs

Discriminative Visual Tracking (DVT) takes the tracking problem as a binary classification task to separate target from its surrounding background. It trains a classifier in an online method using positive and negative samples extracted from the current frame. When the next frame is coming, the samples around the old target location are extracted at this frame, and then the afore-trained classifier is applied to these samples. The location of the sample with the maximum classifier score, i.e. the most correct sample, is the new target location at this frame.