مشروع البحث:
One Particle Filter Based Algorithm of Tracking of a Moving Object in the Sequence of Image

dc.contributor.advisorأ.د. برانكو كوفاتشيفيتن
dc.contributor.advisorأ.د. زيليكو دوروفيتش
dc.contributor.advisorأ.د. زوران بانجاك
dc.contributor.advisorأ.د ميلان بروكين
dc.contributor.advisorأ.د. فليكو بابيتش
dc.date.accessioned2024-12-11T08:50:55Z
dc.date.available2024-12-11T08:50:55Z
dc.descriptionBased on individual estimates produced by every single feature, the final estimate is made by their weighted average. It’s been adopted the mechanism of adaptation of weighting coefficients for particular image features, including the cases that some of them should be excluded from the calculation if their level of confidence is below some specified threshold. The quality of a specific feature is determined by calculating average similarities between the reference window and the collection of windows on particles' locations, and according to that, the weighting coefficients modify adaptively
dc.description.abstractThere are a continuously increasing number of applications where moving objects should be tracked in a video sequence. This research work has been directed to and focused on video sequence monitoring and following up of automobiles in artificial and real-world traffic scenarios. Bearing in mind the rapidly growing scope of applications in the areas of automatic monitoring of traffic situations on the roads, as well as on the control of autonomous vehicles in traffic, the attention was focused on the problem of moving vehicle video tracking as the starting phase of many of the tasks of this type
dc.identifier225
dc.identifier.urihttps://dspace.academy.edu.ly/handle/123456789/795
dc.subjectSequence of Image
dc.titleOne Particle Filter Based Algorithm of Tracking of a Moving Object in the Sequence of Image
dspace.entity.typeProject
project.endDate2023
project.funder.nameالهندسة الكهربائية
project.investigatorعبد الجليل الصغير محمد
project.startDate2022
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