Temporal sparse feature auto-combination deep network for video action recognition-Reference-Cited by-同舟云学术

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Temporal sparse feature auto-combination deep network for video action recognition

Published:2018-03-22 Issue:23 Volume:30 Page:e4487
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Wang Qicong¹^ORCID,Gong Dingxi¹,Qi Man²,Shen Yehu³,Lei Yunqi¹

Affiliation:

1. Department of Computer Science; Xiamen University; Xiamen China

2. School of Law, Criminal Justice and Computing; Canterbury Christ Church University; Canterbury UK

3. College of Mechanical Engineering; Suzhou University of Science and Technology; Zhenjiang China

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4487/fullpdf

Reference33 articles.

1. Visual perception of biological motion and a model for its analysis;Johansson;Percept Psychophys,1973

2. Campbell LW Bobick AF Recognition of human body motion using phase space constraints 1995 Cambridge, MA

3. Guo Y Xu G Tsuji S Understanding human motion patterns 1994 Jerusalem, Israel

4. View-invariant representation and recognition of action;Rao;Int J Comput Vis,2002

5. Mori G Malik J Estimating human body configurations using shape context matching 2002 Copenhagen, Denmark

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