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References
S Birchfield. Elliptical head tracking using intensity gradients and color histograms. Proc CVPR, 1998.
G R Bradski. Real-time face and object tracking as a component of a perceptual user interface. Proc IEEE Workshop on Applications of Computer Vision, 1998.
L Bretzner et al. Hand gesture recognition using multi-scale colour features, hierarchical models, and particle filtering. Proc IEEE Int Conf on Automatic Face and Gesture Recognition, 2002.
P J Burt and E H Adelson. The Laplacian pyramid as a compact image code. IEEE Trans Comm, pp 532–540, 1983.
R Cutler and M Turk. View-based interpretation of real-time optical flow for gesture recognition. Proc IEEE Int Conf on Automatic Face and Gesture Recognition, 1998.
S Grange et al. Vision-based sensor fusion for human-computer interaction. Proc Int Conf on Intelligent Robots and Systems, 2002.
M Isard and A Blake. Condensation — Conditional density propagation for visual tracking. Int J Computer Vision, 1998.
M Isard and A Blake. A mixed-state CONDENSATION tracker with automatic model-switching. Proc ICCV, 1998.
N Jojić et al. Tracking self-occluding articulated object in dense disparity maps. Proc ICCV, 1999.
R E Kalman. A new approach to linear filtering and prediction problems. ASME J of Basic Engineering, pp 34–45, 1960.
J Kennedy and R Eberhart. Particle swarm optimization. Proc IEEE Int Conf on Neural Networks, 1995.
M Kölsch. Vision based hand gesture interfaces for wearable computing and virtual environments. PhD Thesis, University of California, Santa Barbara, 2004.
M Kölsch and M Turk. Fast 2D hand tracking with flocks of features and multi-cue integration. Proc IEEE Workshop on Real-Time Vision for Human-Computer Interaction, 2004.
M Kölsch and M Turk. Robust hand detection. Proc IEEE Intl Conf on Automatic Face and Gesture Recognition, 2004.
M Kölsch et al. Vision-Based interfaces for mobility. Proc Int Conf on Mobile and Ubiquitous Systems, 2004.
T Kurata et al. The Hand Mouse: GMM hand-color classification and mean-shift tracking. Proc Int Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001.
B D Lucas and T Kanade. An iterative image registration technique with an application to stereo vision. Proc Imaging Understanding Workshop, 1981.
F Quek. Unencumbered gestural interaction. IEEE Multimedia, pp 36–47, 1996.
C W Reynolds. Flocks, herds, and schools: A distributed behavioral model. ACM Trans on Graphics, pp 25–34, 1987.
J Segen and S Kumar. GestureVR: Vision-based 3D hand interface for spatial interaction. Proc ACM Int Multimedia Conference, 1998.
C Shan et al. Real-time hand tracking by combining particle filtering and meanshift. Proc IEEE Int Conf on Automatic Face and Gesture Recognition, 2004.
J Shi and C Tomasi. Good features to track. Proc CVPR, 1994.
B Stenger et al. Filtering using a tree-based estimator. Proc ICCV, 2003.
C R Wren and A P Pentland. Dynamic models of human motion. Proc IEEE Int Conf on Automatic Face and Gesture Recognition, 1998.
Y Wu and T S Huang. Hand modeling, analysis, and recognition. IEEE Signal Proc Mag, pp 51–60, 2001.
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Kölsch, M., Turk, M. (2005). Flocks of Features for Tracking Articulated Objects. In: Kisačanin, B., Pavlović, V., Huang, T.S. (eds) Real-Time Vision for Human-Computer Interaction. Springer, Boston, MA. https://doi.org/10.1007/0-387-27890-7_5
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DOI: https://doi.org/10.1007/0-387-27890-7_5
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