Automatic fish tracking by Kalman filter
Other Title(s)
التتبع التلقائي للأسماك بواسطة مرشح كالمان
Joint Authors
al-Duruqi, Nawal
al-Dharani, Idris
al-Qadhdhafi, Sultan
Source
مجلة جامعة سبها للعلوم البحتة و التطبيقية
Publisher
Publication Date
2019-12-31
Country of Publication
Libya
No. of Pages
4
Main Subjects
Information Technology and Computer Science
English Abstract
One of the phases of research is the computer vision for automatic tracking and acquisition of knowledge about the migratory behavior of fish.
For that purpose, some fishes are marked, then introduced into an experimental medium.
Thus, throughout all observations, a big video database of sequences is collected the background subtraction method is used to detect the fish then we apply the labelling of connected components for extracting all information about fishes.
The tracking of fish will be obtained by Kalman filtering.
Data Type
Conference Papers
Record ID
BIM-1200605
American Psychological Association (APA)
al-Duruqi, Nawal& al-Dharani, Idris& al-Qadhdhafi, Sultan. 2019-12-31. Automatic fish tracking by Kalman filter. . Vol. 18, no. 4 (2019), pp.20-23.Sabha Murzuq : Sabha University.
https://search.emarefa.net/detail/BIM-1200605
Modern Language Association (MLA)
al-Duruqi, Nawal…[et al.]. Automatic fish tracking by Kalman filter. . Sabha Murzuq : Sabha University. 2019-12-31.
https://search.emarefa.net/detail/BIM-1200605
American Medical Association (AMA)
al-Duruqi, Nawal& al-Dharani, Idris& al-Qadhdhafi, Sultan. Automatic fish tracking by Kalman filter. .
https://search.emarefa.net/detail/BIM-1200605