NON-NEGATIVE SPARSE CODING FOR HUMAN ACTION RECOGNITION

被引：0

作者：

Amiri, S. Mohsen ^{[1
]}

Nasiopoulos, Panos ^{[1
]}

Leung, Victor C. M. ^{[1
]}

机构：

[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V5Z 1M9, Canada

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

Human Action Recognition; Computer Vision; Machine Learning; Smart Home; SVM;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

We consider the problem of human action recognition using non-negative sparse representation of extracted features from spatiotemporal video patches. Our algorithm trains dictionaries for the calculation of a non-negative sparse representation for feature vectors and uses a linear Support Vector Machine (SVM) to distinguish between different actions. We evaluate the performance of the proposed techniques by using two human action datasets (KTH and IXMAS). In both cases, the proposed technique outperforms state-of-the-art techniques, achieving 100% accuracy on the KTH dataset.

引用

页码：1421 / 1424

页数：4

共 50 条

[31] Sparse Spatial Coding: A Novel Approach to Visual Recognition
Oliveira, Gabriel Leivas
Nascimento, Erickson R.
Vieira, Antonio Wilson
Montenegro Campos, Mario Fernando
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (06) : 2719 - 2731
[32] Polygonized Silhouettes and Polygon Coding Based Feature Representation for Human Action Recognition
Gocmen, Ogul
Akata, Murat Emin
IEEE ACCESS, 2023, 11 : 57021 - 57036
[33] Human Action Invarianceness for Human Action Recognition
Sjarif, Nilam Nur Amir
Shamsuddin, Siti Mariyam
2015 9TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT AND APPLICATIONS (SKIMA), 2015,
[34] Online Discriminant Projective Non-negative Matrix Factorization
Zhang, Xiang
Liao, Qing
Luo, Zhigang
2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC), 2017, : 537 - 542
[35] Tumor Classification Using Non-negative Matrix Factorization
Zhang, Ping
Zheng, Chun-Hou
Li, Bo
Wen, Chang-Gang
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES, 2008, 15 : 236 - +
[36] Non-negative matrix factorization and classifiers: Experimental study
Okun, OG
PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON VISUALIZATION, IMAGING, AND IMAGE PROCESSING, 2004, : 550 - 555
[37] Human Action Recognition Systems: A Review of the Trends and State-of-the-Art
Karim, Misha
Khalid, Shah
Aleryani, Aliya
Khan, Jawad
Ullah, Irfan
Ali, Zafar
IEEE ACCESS, 2024, 12 : 36372 - 36390
[38] Advances in human action recognition: an updated survey
Abu-Bakar, Syed A. R.
IET IMAGE PROCESSING, 2019, 13 (13) : 2381 - 2394
[39] Capturing causality and bias in human action recognition *
Lai, Kenneth
Yanushkevich, Svetlana N.
Shmerko, Vlad
Hou, Ming
PATTERN RECOGNITION LETTERS, 2021, 147 : 164 - 171
[40] Transfer Learning of Human Poses for Action Recognition
Rodriguez, Mario
Medrano, Carlos
Herrero, Elias
Orrite, Carlos
HUMAN BEHAVIOR UNDERSTANDING (HBU 2013), 2013, 8212 : 89 - 101

← 1 2 3 4 5 →