ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W2, 19-24, 2013
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W2/19/2013/
doi:10.5194/isprsannals-II-3-W2-19-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
02 Oct 2013
Interactive multi-object tracking for virtual object manipulation
Y. Guo, M. Ying Yang, and B. Rosenhahn Institute for Information processing (TNT), Leibniz University Hanover Appelstr. 9A, 30167 Hannover, Germany
Keywords: Kinect, multiple object tracking, gesture recognition, ICP, 1D signature Abstract. We present an interactive system to manipulate a virtual object by tracking multiple hands in 3D space using a Kinect device. The system segments hand shapes from a captured 3D scene by using depth information and active contours. A hand shape is recognized by a trained naive Bayes classifier, whether it belongs to a palm, a pointing hand form or both hands with simple occlusion. A plane is approximated by using RANSAC for a palm hand form, while a vector from the hand centroid to the fingertip is obtained for a pointing hand form by using ICP as tracking method. A shape of simple occluded two hands is split into a palm and an incomplete pointing hand form, whose missing data is estimated by using PCA. The system works in semi-real time.
Conference paper (PDF, 8902 KB)


Citation: Guo, Y., Ying Yang, M., and Rosenhahn, B.: Interactive multi-object tracking for virtual object manipulation, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W2, 19-24, doi:10.5194/isprsannals-II-3-W2-19-2013, 2013.

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