Isolated dynamic Persian sign language recognition based on camshift algorithm and radon transform
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[1] Jinsong Xia,et al. Face Tracking Based on Camshift Algorithm and Motion Prediction , 2009, 2009 International Workshop on Intelligent Systems and Applications.
[2] Ayoub Al-Hamadi,et al. A Robust Method for Hand Tracking Using Mean-shift Algorithm and Kalman Filter in Stereo Color Image Sequences , 2009 .
[3] Duong Van Hieu,et al. Image Preprocessing and Trajectory Feature Extraction based on Hidden Markov Models for Sign Language Recognition , 2008, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing.
[4] Dorin Comaniciu,et al. Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[5] Khaled Assaleh,et al. Video-based feature extraction techniques for isolated arabic sign language recognition , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.
[6] Sudhir Sawarkar,et al. Hand Gesture Recognition Using CAMSHIFT Algorithm , 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.
[7] Wei-Yang Lin,et al. Trajectory-based sign language recognition using Discriminant Analysis in higher-dimensional feature space , 2011, 2011 IEEE International Conference on Multimedia and Expo.
[8] Larry D. Hostetler,et al. The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.
[9] Tamer Shanableh,et al. Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[10] Srecko Juric-Kavelj,et al. An improved CamShift algorithm using stereo vision for object tracking , 2011, 2011 Proceedings of the 34th International Convention MIPRO.