Adaptive Local Spatiotemporal Features from RGB-D Data for One-Shot Learning Gesture Recognition

Adaptive Local Spatiotemporal Features from RGB-D Data for One-Shot Learning Gesture Recognition

Noise and constant empirical motion constraints affect the extraction of distinctive spatiotemporal features from one or a few samples per gesture class. To tackle these problems, an adaptive local spatiotemporal feature (ALSTF) using fused RGB-D data is proposed. First, motion regions of interest (...

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Bibliographic Details
Main Authors: Jia Lin, Xiaogang Ruan, Naigong Yu, Yee-Hong Yang
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Sensors
Subjects:
gesture recognition
one-shot learning
spatiotemporal feature
adaptive
optical flow
motion region of interest
Online Access:http://www.mdpi.com/1424-8220/16/12/2171

Internet

http://www.mdpi.com/1424-8220/16/12/2171

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