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Interacting Multiview Tracker
2016
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust algorithm is proposed for tracking a target object in dynamic conditions including motion blurs, illumination changes, pose variations, and occlusions. To cope with these challenging factors, multiple trackers based on different feature representations are integrated within a probabilistic framework. Each view of the proposed multiview (multi-channel) feature learning algorithm is concerned with one particular feature representation of a target object from which a tracker is developed
doi:10.1109/tpami.2015.2473862
pmid:26336117
fatcat:zgiqxfl3lrgpdgk5dla676yv4m