… 4.2 Multiresolution Tracking We run ensemble tracking in a multiscale framework. This enables
the tracker to capture features at multiple scales. For each level of the pyramid, we run an …

… Avidan [2], who was the first to explicitly apply ensemble methods to tracking-by-detection, …
/or discard decision trees during tracking. Our online ensemble method is most related with …

… options of online ensemble learning for visual tracking and verify … even without pretraining
with external tracking videos. … We first review existing visual tracking algorithms in Section 2. …

… In ensemble tracking (ET) [9], an ensemble of weak classifiers was trained on-line to … a
real-time tracking task by updating an ensemble of weak classifiers while tracking. This approach …

Computational small-molecule binding site detection has several important applications in the
biomedical field. Notable interests are the identification of cavities for structure-based drug …

… In this section, we present our global tracking algorithm via ensemble of local trackers, which
performs global tracking on every frame while effectively exploiting the temporal context. To …

… reliability of each tracker in the ensemble. For efficient online … visual tracking, we empirically
compare two ensemble methods … for our ensemble approach to “get the best of all worlds”. …

… target during tracking, quickly and dynamically. • We propose an ensemble prediction module
… related works on visual object tracking, hyperspectral object tracking, and learning to opti- …

… ensemble tracker (HSET) to address visual object tracking. … object during tracking, and
performs ensemble operations … tracker snapshots for ensemble tracking, we design a tracker …

… visual object tracking algorithm based on ensemble of linear SVM … Secondly, we propose an
on-line ensemble SVM tracker, … , especially under large appearance change during tracking. …