Abstract
In this paper, we propose a novel method of hand recognition for remote mid-air pointing operation. In the proposed method, classification scores are calculated in a sliding window for hand postures with different pointing directions. Detection of a pointing hand and estimation of the pointing direction is performed by interpolating the classification scores. Moreover, we introduce two cameras and improve the recognition accuracy by integrating the classification scores obtained from two camera images. In the experiment, the recognition rate was 73 % at around 1 FPPI when \(\pm 10^\circ \) error was allowed. Though this result was still insufficient for practical applications, we confirmed that integration of two camera information greatly improved the recognition performance.
Chapter PDF
Similar content being viewed by others
References
Athitsos, V., Sclaroff, S.: Estimating 3d hand pose from a cluttered image. In: CVPR, vol. 2, pp. 432–439 (2003)
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, pp. 886–893 (2005)
Dominguez, S., Keaton, T., Sayed, A.H.: A robust finger tracking method for multimodal wearable computer interfacing. IEEE Trans. on Multimedia 8(5), 956–972 (2006)
Hu, K., Canavan, S., Yin, L.: Hand pointing estimation for human computer interaction based on two orthogonal-views. In: ICPR, pp. 3760–3763 (2010)
Huang, C., Ding, X., Fang, C.: Head pose estimation based on random forests for multiclass classification. In: ICPR, pp. 934–937 (2010)
Huang, D.Y., Hu, W.C., Chang, S.H.: Gabor filter-based hand-pose angle estimation for hand gesture recognition under varying illumination. Expert Systems with Applications 38(5), 6031–6042 (2011)
Leap Motion. https://www.leapmotion.com/
Nakamura, T., Takahashi, S., Tanaka, J.: One-finger interaction for ubiquitous environment. In: ICIS, pp. 267–272 (2010)
Rogez, G., Rihan, J., Ramalingam, S., Orrite, C., Torr, P.H.S.: Randomized trees for human pose detection. In: CVPR, pp. 1–8 (2008)
Sato, Y., Saito, M., Koike, H.: Real-time input of 3d pose and gestures of a user’s hand and its applications for hci. In: IEEE VR, pp. 79–86 (2001)
Schick, A., van de Camp, F., Ijsselmuiden, J., Stiefelhagen, R.: Extending touch: Towards interaction with large-scale surfaces. In: ITS, pp. 117–124 (2009)
Stenger, B., Thayananthan, A., Torr, P.H.S., Cipolla, R.: Model-based hand tracking using a hierarchical bayesian filter. IEEE Trans. on PAMI 28(9), 1372–1384 (2006)
Vogel, D., Balakrishnan, R.: Distant freehand pointing and clicking on very large, high resolution displays. In: UIST, pp. 33–42 (2005)
Yuan, Q., Thangali, A., Ablavsky, V., Sclaroff, S.: Parameter sensitive detectors. In: CVPR, pp. 1–6 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Fujita, D., Komuro, T. (2015). Three-Dimensional Hand Pointing Recognition Using Two Cameras by Interpolation and Integration of Classification Scores. In: Agapito, L., Bronstein, M., Rother, C. (eds) Computer Vision - ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science(), vol 8925. Springer, Cham. https://doi.org/10.1007/978-3-319-16178-5_50
Download citation
DOI: https://doi.org/10.1007/978-3-319-16178-5_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16177-8
Online ISBN: 978-3-319-16178-5
eBook Packages: Computer ScienceComputer Science (R0)