3-D Projected PCA Based DMM Feature Fusing with SMO-SVM for Human Action Recognition-Reference-Cited by-同舟云学术

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3-D Projected PCA Based DMM Feature Fusing with SMO-SVM for Human Action Recognition

Published:2016 Issue: Volume:89 Page:759-763
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Naveenkumar M.,Vadivel A.

Publisher

Elsevier BV

Subject

General Engineering

Reference16 articles.

1. http://www.asus.com/multimedia/xtion− pro/(2016). [Online; accessed 05-may-2016].

2. http://www.microsoft.com/en-us/kinectforwindows/(2016). [Online; accessed 05-may-2016].

3. On Space-Time Interest Points;Ivan Laptev;International Journal of Computer Vision,2005

4. Alexander Kls̈er, Marcin Marszalek and Cordelia Schmid, A Spatio-Temporal Descriptor Based on 3D-Gradients, In BMVC’08, (2008).

5. J. Wang, Z. Liu, Y. Wu and J. Yuan, Mining Actionlet Ensemble for Action Recognition with Depth Cameras, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, pp. 1290-1297, (2012).

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2. Abnormal behavior recognition using 3D-CNN combined with LSTM;Multimedia Tools and Applications;2021-02-19

3. PCA/SVM-Based Method for Pattern Detection in a Multisensor System;Mathematical Problems in Engineering;2018

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