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Object Tracking via Dynamic Feature Selection Processes
[article]
2016
arXiv
pre-print
DFST proposes an optimized visual tracking algorithm based on the real-time selection of locally and temporally discriminative features. A feature selection mechanism is embedded in the Adaptive colour Names (CN) tracking system that adaptively selects the top-ranked discriminative features for tracking. DFST provides a significant gain in accuracy and precision allowing the use of a dynamic set of features that results in an increased system flexibility. DFST is based on the unsupervised
arXiv:1609.01958v1
fatcat:h745ggf4zfgcbmeywfb26gwl3y