The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
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 Optimization (PSO). The proposed method does not require special markers and/or a complex image acquisition setup. Being model based, it provides continuous solutions to the problem of tracking hand articulations. Extensive experiments with a prototype GPU-based implementation of the proposed method demonstrate that accurate and robust 3D tracking of hand articulations can be achieved in near real-time (15Hz).
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Real-time human pose recognition in parts from single depth images
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A survey of advances in vision-based human motion capture and analysis
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Real-time human pose recognition in parts from single depth images
Shotton, J., Sharp, T., Kipman, A., Fitzgibbon, A., Finocchio, M., Blake, A., Cook, M., & Moore, R. (2013) · Communications of the ACM · doi:10.1145/2398356.2398381 · Cited by 2,044
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Real-time hand-tracking with a color glove
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Model-based tracking of self-occluding articulated objects
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Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A. A., Tzionas, D., & Black, M. J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.01123 · Cited by 1,781
Romero (2017) · doi:10.1145/3130800.3130883 · Cited by 1,056
DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time
Newcombe, R. A., Fox, D., & Seitz, S. M. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298631 · Cited by 951
Accurate, Robust, and Flexible Real-time Hand Tracking
Sharp, T., Keskin, C., Robertson, D., Taylor, J., Shotton, J., Kim, D., Rhemann, C., Leichter, I., Vinnikov, A., Wei, Y., et al. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702179 · Cited by 431
ModDrop: Adaptive Multi-Modal Gesture Recognition
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Metadata
- Authors
- Oikonomidis, I., Kyriazis, N., & Argyros, A.
- Venue
- Procedings of the British Machine Vision Conference 2011
- Publisher
- British Machine Vision Association
- Published
- 2011
- Pages
- 101.1-101.11
- OpenAlex
- W2100642335
- Cited by
- 874
- References
- 20
- FWCI
- 58.76
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Oikonomidis, I., Kyriazis, N., & Argyros, A. (2011). Efficient model-based 3D tracking of hand articulations using Kinect. Procedings of the British Machine Vision Conference 2011. https://doi.org/10.5244/c.25.101
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