Deep Gesture: Static Hand Gesture Recognition Using CNN
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-2107-7_41
Reference26 articles.
1. L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Transactions on Pattern Analysis & Machine Intelligence, no. 11, pp. 1254–1259, 1998.
2. A. Borji and L. Itti, “State-of-the-art in visual attention modeling,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 35, no. 1, pp. 185–207, 2013.
3. S. Mitra and T. Acharya, “Gesture recognition: A survey,” Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 37, no. 3, pp. 311–324, 2007.
4. S. Marcel, “Hand posture recognition in a body-face centered space,” in CHI ’99 Extended Abstracts on Human Factors in Computing Systems, ser. CHI EA ’99. New York, NY, USA: ACM, 1999, pp. 302–303. [Online]. Available: http://doi.acm.org/10.1145/632716.632901 .
5. P. K. Pisharady, P. Vadakkepat, and A. P. Loh, “Attention based detection and recognition of hand postures against complex backgrounds,” International Journal of Computer Vision, vol. 101, no. 3, pp. 403–419, 2013.
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