Visual object tracking via random ferns based classification


Designing a robust algorithm for visual object tracking has been a challenging task since many years. There are trackers in the literature that are reasonably accurate for many tracking scenarios but most of them are computationally expensive. This narrows down their applicability as many tracking applications demand real time response. In this paper, we… (More)
DOI: 10.1109/ICASSP.2014.6854863


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