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Hybrid Feature and Template Based Tracking for Augmented Reality Application

  • Gede Putra Kusuma NegaraEmail author
  • Fong Wee Teck
  • Li Yiqun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9010)

Abstract

Visual tracking is the core technology that enables the vision-based augmented reality application. Recent contributions in visual tracking are dominated by template-based tracking approaches such as ESM due to its accuracy in estimating the camera pose. However, it is shown that the template-based tracking approach is less robust against large inter-frames displacements and image variations than the feature-based tracking. Therefore, we propose to combine the feature-based and template-based tracking into a hybrid tracking model to improve the overall tracking performance. The feature-based tracking is performed prior to the template-based tracking. The feature-based tracking estimates pose changes between frames using the tracked feature-points. The template-based tracking is then used to refine the estimated pose. As a result, the hybrid tracking approach is robust against large inter-frames displacements and image variations. It also accurately estimates the camera pose. Furthermore, we will show that the pose adjustment performed by the feature-based tracking reduces the number of iterations necessary for the ESM to refine the estimated pose.

Keywords

Image Sequence Reference Image Visual Tracking Feature Tracker Image Variation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

Supplementary material (avi 2,235 KB)

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Gede Putra Kusuma Negara
    • 1
    Email author
  • Fong Wee Teck
    • 1
  • Li Yiqun
    • 1
  1. 1.Visual Computing DepartmentInstitute for Infocomm ResearchSingaporeSingapore

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