Human‐like evaluation method for object motion detection algorithms-Reference-Cited by-同舟云学术

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Human‐like evaluation method for object motion detection algorithms

Published:2020-11-25 Issue:8 Volume:14 Page:674-682
ISSN:1751-9632
Container-title:IET Computer Vision
language:en
Short-container-title:IET comput. vis

Author:

Guzman‐Pando Abimael¹^ORCID,Chacon‐Murguia Mario Ignacio¹,Chacon‐Diaz Lucia B.²

Affiliation:

1. Visual Perception LaboratoryGraduate and Research DepartmentTecnológico Nacional de México/I.T. ChihuahuaAve. Tecnológico #2909ChihuahuaMexico

2. College of Education and Human EcologyDepartment of Teaching and LearningThe Ohio State University1945 North High StreetColumbusOH43210USA

Funder

Tecnológico Nacional de México

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.2019.0997

Reference22 articles.

1. Traditional and recent approaches in background modeling for foreground detection: an overview;Bouwmans T.;Comput. Sci. Rev.,2014

2. Kulchandani J.S. Dangarwala K.J.: ‘Moving object detection: review of recent research trends’.Int. Conf. Pervasive Computing (ICPC) Pune 2015 pp.1–5

3. New trends on moving object detection in video images captured by a moving camera: A survey

4. Singha A. Bhowmik M.K.: ‘Moving object detection in night time: a survey’.Proc. 2nd Int. Conf. on Innovations in Electronics Signal Processing and Communication (IESC) Shillong India 2019 pp.44–49

5. Analysis and trends on moving object detection algorithm techniques;Guzman‐Pando A.;IEEE Lat. Am. Trans.,2019

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