Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 38; no. 8; pp. 1626 - 1639
• Main Authors: Jun Wan, Guodong Guo, Li, Stan Z.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; bag of visual words model; Datasets; Feature extraction; gesture reco gnition; Gesture recognition; Gestures; Hidden Markov models; Humans; One-shot learning; Pattern Recognition, Automated; RGB-D data; Robustness; Spatiotemporal phenomena; Three-dimensional displays; Training

Availability of handy RGB-D sensors has brought about a surge of gesture recognition research and applications. Among various approaches, one shot learning approach is advantageous because it requires minimum amount of data. Here, we provide a thorough review about one-shot learning gesture recognit...