Hand tracking for humanoid robot using Camshift algorithm and Kalman filter

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

Volumn 40, Issue 7, 2006, Pages 1161-1165

  Peng, Juan Chun ^a   Gu, Li Zhong ^a   Su, Jian Bo ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Camshift; Color probability distribution; Hand tracking; Kalman filter

Indexed keywords

COLOR; KALMAN FILTERING; PROBABILITY DISTRIBUTIONS; SKIN; STEREO VISION; TWO DIMENSIONAL;

COLOR HISTOGRAM BACK PROJECTION; COLOR PROBABILITY DISTRIBUTION; CONTINUOUSLY ADAPTIVE MEAN SHIFT (CAMSHIFT); HAND TRACKING; HUMANOID ROBOT; REAL TIME; SKIN COLOR; STOCHASTIC ESTIMATOR;

ROBOTS;

EID: 33748948764     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Bray M, Koller-Meier E, Van Gool L. Smart particle filtering for 3D hand tracking[C]//Proceedings of 6th IEEE International Conference on Automatic Face and Gesture Recognition. Seoul, Korea: IEEE, 2004: 675-680.
2. Nummiaro K, Koller-Meier E, Van Gool L. An adaptive color-based particle filter[J]. Image and Vision Computing, 2003, 21(1): 99-110.
3. Comaniciu D, Ramesh V, Meer P. Real-time tracking of non-rigid objects using mean shift[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Hilton Head Island, South Carolina: IEEE, 2000. 2: 142-149.
4. Comaniciu D, Ramesh V. Mean shift and optimal prediction for efficient object tracking[C]//Proceedings of the 2000 IEEE International Conference on Image Processing. Vancouver, Canada: IEEE, 2000. 3: 70-73.
5. Bradski Gary R. Computer vision face tracking as a component of a perceptual user interface[C]//Proceedings of IEEE Workshop Applications of Computer Vision. Princeton, NJ: IEEE, 1998: 214-219.