Robust motion detection and classification in real-life scenarios using motion vectors.

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Bibliographic Details
Title: Robust motion detection and classification in real-life scenarios using motion vectors.
Authors: Rehman SU; Institute of Management Sciences (IMSciences), Peshawar Pakistan., Ullah I; Institute of Management Sciences (IMSciences), Peshawar Pakistan., Akbar W; School of Electronic and Control Engineering, Chang'an University, Xi'an, China., Hussain A; School of Electronic and Control Engineering, Chang'an University, Xi'an, China., Hussain T; School of Computer Science and Technology and School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China., Alzubi AA; Department of Computer Science and Engineering, College of Applied Studies, King Saud University, Riyadh, Saudi Arabia., Ullah I; Insaf Ullah from Institute for Analytics and Data Science, University of Essex, Colchester, United Kingdom., Li S; School of Electronic and Control Engineering, Chang'an University, Xi'an, China.
Source: PloS one [PLoS One] 2026 Jan 12; Vol. 21 (1), pp. e0333191. Date of Electronic Publication: 2026 Jan 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0333191