Action recognition by discriminative EdgeBoxes-Reference-Cited by-同舟云学术

Action recognition by discriminative EdgeBoxes

Published:2018-02-15 Issue:4 Volume:12 Page:443-452
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

El‐Masry Mohammed¹,Fakhr Mohamed Waleed²,Salem Mohammed A.‐M.³⁴

Affiliation:

1. Computer SciencesArab Academy for Science, Technology & Maritime TransportCairoEgypt

2. Computer EngineeringArab Academy for Science, Technology & Maritime TransportCairoEgypt

3. Computer and Information SciencesAin Shams UniversityCairoEgypt

4. Faculty of Media Engineering and TechnologyGerman University in CairoCairoEgypt

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0335

Reference50 articles.

1. Peterson C. Hou R.: ‘Exemplar‐SVMs for action recognition’. Technical Report University of Central Florida 2013

2. Tran D. Torresani L.: ‘Exmoves: classifier‐based features for scalable action recognition’ arXiv preprint arXiv:13125785 2013

3. Zitnick C.L. Dollár P.: ‘EdgeBoxes: locating object proposals from edges’.European Conf. Computer Vision 2014 pp.391–405

4. The recognition of human movement using temporal templates

5. Polana R. Nelson R.: ‘Low level recognition of human motion (or how to get your man without finding his body parts)’.1994 Proc. 1994 IEEE Workshop on Motion of Non‐Rigid and Articulated Objects 1994 pp.77–82

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