3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
Efficient Diverse Ensemble for Discriminative Co-Tracking
Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
Ensemble discriminative tracking utilizes a committee of classifiers, to label data samples, which are in turn, used for retraining the tracker to localize the target using the col…
Active Collaborative Ensemble Tracking
Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba +1
A discriminative ensemble tracker employs multiple classifiers, each of which casts a vote on all of the obtained samples. The votes are then aggregated in an attempt to localize t…
Efficient Version-Space Reduction for Visual Tracking
Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
Discrminative trackers, employ a classification approach to separate the target from its background. To cope with variations of the target shape and appearance, the classifier is u…
Efficient Asymmetric Co-Tracking using Uncertainty Sampling
Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba +1
Adaptive tracking-by-detection approaches are popular for tracking arbitrary objects. They treat the tracking problem as a classification task and use online learning techniques to…