Object visual tracking methods analysis for usage in real time systems
Journal Title: Телекомунікаційні та інформаційні технології - Year 2017, Vol 103, Issue 2
Abstract
For several years the sparse coding model has been widely used for visual tracking. This model has good accuracy, but low speed. The focus on adaptation/development of visual tracking algorithms that can be applied in real-time systems will significantly expand the application area, it will allow the introduction of visual tracking in production, in recommendations systems that can immediately react to certain actions, autopilots, smart machines and other areas. In this paper several popular algorithms based on sparse coding were selected, and an experimental analysis of their speed and tracking quality was carried out. Also one of the algorithms, which showed the highest accuracy, was modified using of non-sparse coding. Experimental results showed that using of non-sparse coding slightly reduces the accuracy of tracking, however, it gives a significant improvement in speed. Based on this article, conclusions were drawn regarding the direction of future research, and model was selected that would be the basis for further improvement for real-time systems.
Authors and Affiliations
Andrii Babiichuk, Olena Syrota
Keywords
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