An end-to-end convolutional tracker with a peak-versus-noise model update criterion achieves state-of-the-art accuracy on OTB2013/2015 and VOT2015/2016 while running at 58 FPS.
Selection of observation position and orientation in visual servoing with eye-in-vehicle configuration for manipulator,
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High Performance Visual Object Tracking with Unified Convolutional Networks
An end-to-end convolutional tracker with a peak-versus-noise model update criterion achieves state-of-the-art accuracy on OTB2013/2015 and VOT2015/2016 while running at 58 FPS.