Automatic Sign Language Manual Parameter Recognition (II): Comprehensive System Design

[1]  Patricia Shaw,et al.  Improving Active Vision System Categorization Capability Through Histogram of Oriented Gradients , 2015, TAROS.

[2]  Hossam Faris,et al.  A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture , 2017, Neural Computing and Applications.

[3]  Tim Morris,et al.  Adaptive skin segmentation via feature-based face detection , 2014, Photonics Europe.

[4]  Oscar Déniz-Suárez,et al.  Face recognition using Histograms of Oriented Gradients , 2011, Pattern Recognit. Lett..

[5]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[6]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[7]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[8]  Kazuhiro Nakadai,et al.  Data-driven development of Virtual Sign Language Communication Agents , 2018, 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[9]  Regis Hoffman,et al.  Visual classification of coarse vehicle orientation using Histogram of Oriented Gradients features , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[10]  Anupam Agrawal,et al.  Vision based hand gesture recognition for human computer interaction: a survey , 2012, Artificial Intelligence Review.

[11]  Manolis I. A. Lourakis,et al.  Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera , 2004, ECCV.

[12]  Lan Lin,et al.  Automatic Pedestrians Segmentation Based on Machine Learning in Surveillance Video* , 2019, 2019 IEEE International Conference on Computational Electromagnetics (ICCEM).

[13]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[14]  Peter Eisert,et al.  Improved Hand-Tracking Framework with a Recovery Mechanism , 2013 .

[15]  Simon Fong,et al.  Histogram of oriented gradient based plantar pressure image feature extraction and classification employing fuzzy support vector machine , 2018 .

[16]  Rajiv Kapoor,et al.  Detection of Power Quality Event using Histogram of Oriented Gradients and Support Vector Machine , 2018 .

[17]  Richard E. Ladner,et al.  Designing an Animated Character System for American Sign Language , 2018, ASSETS.

[18]  Shijian Lu,et al.  Multilingual scene character recognition with co-occurrence of histogram of oriented gradients , 2016, Pattern Recognit..

[19]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[20]  Z. Zivkovic Improved adaptive Gaussian mixture model for background subtraction , 2004, ICPR 2004.

[21]  Shih-Fu Chang,et al.  Tools and techniques for color image retrieval , 1996, Electronic Imaging.

[22]  Joëlle Tilmanne,et al.  MOCKEY : MOTION CAPTURE AS A TOOL FOR KEYFRAMING ANIMATION , 2009 .

[23]  Sanjay Sharma,et al.  Detection of Advanced Malware by Machine Learning Techniques , 2018, Advances in Intelligent Systems and Computing.

[24]  Leonid Sigal,et al.  Poselet Key-Framing: A Model for Human Activity Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[25]  Angelo C. Loula,et al.  Recognition of Static Gestures Applied to Brazilian Sign Language (Libras) , 2015, 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images.