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 (...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jia Lin, Xiaogang Ruan, Naigong Yu, Yee-Hong Yang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2016-12-01
Sarja:Sensors
Aiheet:
gesture recognition
one-shot learning
spatiotemporal feature
adaptive
optical flow
motion region of interest
Linkit:http://www.mdpi.com/1424-8220/16/12/2171

Internet

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

Samankaltaisia teoksia