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Hand Action Detection from Ego-centric Depth Sequences with Error-correcting Hough Transform
[article]
2016
arXiv
pre-print
Detecting hand actions from ego-centric depth sequences is a practically challenging problem, owing mostly to the complex and dexterous nature of hand articulations as well as non-stationary camera motion. We address this problem via a Hough transform based approach coupled with a discriminatively learned error-correcting component to tackle the well known issue of incorrect votes from the Hough transform. In this framework, local parts vote collectively for the start & end positions of each
arXiv:1606.02031v1
fatcat:vtz2cdrg5bcshpfnwtoet6srky