Using Optical Flow for Step Size Initialisation in Hand Tracking by Stochastic Optimisation
نویسنده
چکیده
In this paper we use optical flow to initialise step sizes in a stochastic optimisation setting for hand tracking. One can appreciate that most complex hand gestures result in different segments of the hand moving at different speeds. We show that by reflecting this motion difference in our step size initialisation process, the tracking performance can be improved. Significant improvement to tracking accuracy has been observed for gripping motions of the hand.
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تاریخ انتشار 2007