Thai finger spelling localization and classification under complex background using a YOLO-based deep learning
Author:
Affiliation:
1. Khon Kaen University, Khon Kaen, Thailand
2. King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
Publisher
ACM Press
Reference25 articles.
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3. S. Liwicki and M. Everingham, 'Automatic recognition of fingerspelled words in British Sign Language', in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009, pp. 50--57.
4. K. Inoue, T. Shiraishi, M. Yoshioka, and H. Yanagimoto, 'Depth Sensor Based Automatic Hand Region Extraction by Using Time-series Curve and Its Application to Japanese Finger-spelled Sign Language Recognition', Procedia Computer Science, vol. 60, pp. 371--380, Jan. 2015.
5. P. Nakjai and T. Katanyukul, 'Hand Sign Recognition for Thai Finger Spelling: an Application of Convolution Neural Network', J Sign Process Syst, pp. 1--16, May 2018.
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