loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Huaxin Xiao ; Yu Liu ; Bin Wang ; Shuren Tan and Maojun Zhang

Affiliation: National University of Defense Technology, China

Keyword(s): Low illumination, Motion detection, Dictionary learning, Sparse coding.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Sparsity ; Theory and Methods ; Video Analysis

Abstract: This paper proposes a dictionary-based motion detection method on video images captured under low light with serious noise. The proposed approach trains a dictionary by background images without foreground. It then reconstructs the test image according to the theory of sparse coding, and introduces the Structural Similarity Index Measurement (SSIM) as the detection standard to identify the detection caused by the brightness and contrast ratio changes. Experimental results show that compared to the mixture of Gaussian model and ViBe method, the proposed method can reach a better result under extreme low illumination circumstance.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.14.221.113

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Xiao, H.; Liu, Y.; Wang, B.; Tan, S. and Zhang, M. (2014). A Low Illumination Environment Motion Detection Method based on Dictionary Learning. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 147-154. DOI: 10.5220/0004753701470154

@conference{icpram14,
author={Huaxin Xiao. and Yu Liu. and Bin Wang. and Shuren Tan. and Maojun Zhang.},
title={A Low Illumination Environment Motion Detection Method based on Dictionary Learning},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2014},
pages={147-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004753701470154},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - A Low Illumination Environment Motion Detection Method based on Dictionary Learning
SN - 978-989-758-018-5
IS - 2184-4313
AU - Xiao, H.
AU - Liu, Y.
AU - Wang, B.
AU - Tan, S.
AU - Zhang, M.
PY - 2014
SP - 147
EP - 154
DO - 10.5220/0004753701470154
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic