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1
The Study of Efficacy of Gaussian Mixture Model In Image Tr..:
, In:
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)
,
Abdulkadir, Alabi
;
Adegbola, Oluwole Abiodun
;
Olalekan Idowu, Peter
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/NIGERCON54645.2022.9803150
RT T1 <cTitle>2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)</cTitle>: T1 <Title>The Study of Efficacy of Gaussian Mixture Model In Image Tracking System Using the Canny Optical Flow Technique</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9803150&Exemplar=1&LAN=DE A1 Abdulkadir, Alabi A1 Adegbola, Oluwole Abiodun A1 Olalekan Idowu, Peter A1 Aborisade, David Olugbenga YR 2022 SN 2377-2697 K1 Video on demand K1 Tracking K1 Image edge detection K1 Surveillance K1 Object detection K1 Real-time systems K1 Sustainable development K1 video sequence K1 canny edge detection K1 object tracking K1 optical flow SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/NIGERCON54645.2022.9803150 DO https://doi.org/10.1109/NIGERCON54645.2022.9803150 SF ELIB - SuUB Bremen
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