2D+t track detection via relative persistent homology-Reference-Cited by-同舟云学术

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2D+t track detection via relative persistent homology

Published:2020-10-09 Issue:2 Volume:31 Page:753-762
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Assaf Rabih¹²^ORCID,Goupil Alban³,Rammal Abbas¹⁴,Vrabie Valeriu³,Kacim Mohammad²^ORCID

Affiliation:

1. Data Science Department, Faculty of Information and Documentation Lebanese University Beirut Lebanon

2. Holy Spirit University of Kaslik (USEK) Jounieh Lebanon

3. CReSTIC Université de Reims Champagne‐Ardenne (URCA) Reims France

4. Statistics Department, Faculty of Sciences Lebanese University Beirut Lebanon

Funder

Conseil National de la Recherche Scientifique

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22503

Reference40 articles.

1. AbdelliA ChoiHJ. A four‐frames differencing technique for moving objects detection in wide area surveillance. Paper presented at: 2017 IEEE International Conference on Big Data and Smart Computing (BigComp); 2017 pp. 210–214.

2. Single-frame image super-resolution using learned wavelet coefficients

3. RadziSSM YaakobSN KadimZ WoonHH. Extraction of moving objects using frame differencing ghost and shadow removal. Paper presented at: 2014 5th International Conference on Intelligent Systems Modelling and Simulation; 2014. pp. 229–234.

4. Iterative copy‐move forgery detection based on a new interest point detector;Zandi M;IEEE Trans Inf Foren Secur,2016

5. GuptaM KumarS KejriwalN BeheraL VenkateshKS. SURF‐based human tracking algorithm for a human‐following mobile robot. Paper presented at: 2015 International Conference on Image Processing Theory Tools and Applications (IPTA); 2015. pp. 111–116.

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