Abstract
This paper deals with the problem of object tracking in Augmented Reality (AR) applications. In the recent years AR has been of increasing interest. It consists of inserting a virtual object into a real scene. The temporal coherence between real and virtual objects is one of the hardest challenges of the AR system realization. A markerless tracking based on the interest points matching using SURF (Speed Up Robust Features) is mostly used, but it suffers from high computational complexity. For this reason, we propose a method using an interest window around of the object to be tracked. Moreover, a relationship between the object size and the metric threshold of SURF is investigated. The experimental results show an improvement of the proposed object tracking method performance compared to a standard method based on SURF interest points matching.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
