TS-Net: Device-Free Action Recognition with Cross-Modal Learning

2021 ◽  
pp. 404-415
Author(s):  
Biyun Sheng ◽  
Linqing Gui ◽  
Fu Xiao
Keyword(s):  
Action Recognition ◽  
Free Action ◽  
Device Free

An Accurate Device-Free Action Recognition System Using Two-Stream Network

2020 ◽  
Vol 69 (7) ◽  
pp. 7930-7939 ◽  
Author(s):  
Biyun Sheng ◽  
Yuanrun Fang ◽  
Fu Xiao ◽  
Lijuan Sun
Keyword(s):  
Action Recognition ◽  
Free Action ◽  
Recognition System ◽  
Stream Network ◽  
Device Free

History Aware Device-free Passive (DfP) Localisation

2011 ◽  
Vol 16 (3-4) ◽  
Author(s):  
Gabriel Deak ◽  
Kevin Curran ◽  
Joan Condell
Keyword(s):  
Device Free

Human action recognition using simple geometric features and a finite state machine

2013 ◽  
Vol 18 (2-3) ◽  
pp. 49-60 ◽  
Author(s):  
Damian Dudzńiski ◽  
Tomasz Kryjak ◽  
Zbigniew Mikrut
Keyword(s):  
Action Recognition ◽  
Finite State Machine ◽  
Recognition Rate ◽  
Human Action Recognition ◽  
Human Action ◽  
Video Stream ◽  
State Machine ◽  
Recognition Algorithm ◽  
Finite State ◽  
Correct Recognition Rate

Abstract In this paper a human action recognition algorithm, which uses background generation with shadow elimination, silhouette description based on simple geometrical features and a finite state machine for recognizing particular actions is described. The performed tests indicate that this approach obtains a 81 % correct recognition rate allowing real-time image processing of a 360 X 288 video stream.

Deep Learning for Human Action Recognition Survey

2018 ◽  
Vol 6 (10) ◽  
pp. 323-328
Author(s):  
K.Kiruba . ◽  
D. Shiloah Elizabeth ◽  
C Sunil Retmin Raj
Keyword(s):  
Deep Learning ◽  
Action Recognition ◽  
Human Action Recognition ◽  
Human Action

Surgical Action Recognition with Spatiotemporal Convolutional Neural Networks

2019 ◽  
Author(s):  
Giacomo De Rossi ◽  
◽  
Nicola Piccinelli ◽  
Francesco Setti ◽  
Riccardo Muradore ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Action Recognition

Effective video feature for action recognition

2011 ◽  
Vol 31 (2) ◽  
pp. 406-409 ◽  
Author(s):  
Ying-jie LI ◽  
Yi-xin YIN ◽  
Fei DENG
Keyword(s):  
Action Recognition ◽  
Video Feature
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