Visual object tracking is one of the most challenging problems in multimedia processing with numerous applications, such as video retrieval, video editing, video surveillance, augmented reality, motion analysis, human-computer interaction with multimedia, etc. Despite significant progress has been made in recent years, various factors, such as occlusions, out-of-view, non-rigid deformations, illumination changes, fast motion and scale variations, make it still an open problem.
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Temporal constraint background-aware correlation filter drives accurate visual tracking
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