Procedings of the British Machine Vision Conference 2011 2011
DOI: 10.5244/c.25.101
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Efficient model-based 3D tracking of hand articulations using Kinect

Abstract: We present a novel solution to the problem of recovering and tracking the 3D position, orientation and full articulation of a human hand from markerless visual observations obtained by a Kinect sensor. We treat this as an optimization problem, seeking for the hand model parameters that minimize the discrepancy between the appearance and 3D structure of hypothesized instances of a hand model and actual hand observations. This optimization problem is effectively solved using a variant of Particle Swarm Optimizat… Show more

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Cited by 738 publications
(710 citation statements)
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References 24 publications
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“…The largest skin coloured blob is considered to be the hand [12]. A contour is traced on I bp and DouglasPeucker polygon approximation method [25,24] is used to reduce the number of redundant contour points cp.…”
Section: Hand Features Extractionmentioning
confidence: 99%
See 2 more Smart Citations
“…The largest skin coloured blob is considered to be the hand [12]. A contour is traced on I bp and DouglasPeucker polygon approximation method [25,24] is used to reduce the number of redundant contour points cp.…”
Section: Hand Features Extractionmentioning
confidence: 99%
“…Furthermore, the computational requirements is high. Recent work in [12] addresses this poblem using GPU-based software implementation and off-the-shelf Kinect sensor which demonstrates robust 3D articulated hand tracking in near real-time (15Hz) over a long sequence.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Bunke et al [8] and Fink et al [9] used multiple cameras, whereas [4,5,10,11] used depth sensors for gesture and handwriting recognition. Lee and Lee [12] proposed the use of a skin color model to track the hand and fingertips whereas Oikonomidis et al [13] models the hand using a multi-camera setup. Liwicki and Everingham [5] have worked on recognizing words from video, where words are finger spelled using the British Sign Language(BSL).…”
Section: Introductionmentioning
confidence: 99%
“…Body pose can be calculated at several scales and granularities including full body [14,18], head [13] and hand pose [3,4,10,12,19]. Recovering the articulation of a human hand can be proven very useful in a number of application domains including but not limited to advanced HCI/HRI, games, AR applications, sign language understanding, etc.…”
Section: Introductionmentioning
confidence: 99%