Multi-level context-adaptive correlation tracking
Multi-level context-adaptive correlation tracking is a scholarly work, published in 2019 in ''Pattern Recognition''. The main subjects of the publication include Automatic target recognition, Context model, tracking, clutter, artificial intelligence, computer vision, discriminative model, pyramid, eye tracking, Fire detection, glossary of archaeology, filter, Multiple object tracking, and computer science. To improve the context utilization, authors introduce a multi-level context-adaptive tracking (MCAT) approach for DCF tracking.