Multiple target detection and tracking with guaranteed framerates on mobile phones

• Published in: 2009 8th IEEE International Symposium on Mixed and Augmented Reality pp. 57 - 64
• Main Authors: Wagner, Daniel, Schmalstieg, Dieter, Bischof, Horst
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 19.10.2009; IEEE
• Series: ACM Other Conferences
• Subjects: 6DOF; Augmented reality; Cameras; Computing methodologies; Computing methodologies > Artificial intelligence; Computing methodologies > Artificial intelligence > Computer vision; Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems; Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Tracking; Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks; Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Scene understanding; Mobile handsets; mobile phone; natural features; Object detection; Optical filters; Optical mixing; Optical sensors; Pose estimation; Real time systems; Robustness; Target tracking
• ISBN: 9781424453900; 1424453909
• DOI: 10.1109/ISMAR.2009.5336497

In this paper we present a novel method for real-time pose estimation and tracking on low-end devices such as mobile phones. The presented system can track multiple known targets in real-time and simultaneously detect new targets for tracking. We present a method to automatically and dynamically balance the quality of detection and tracking to adapt to a variable time budget and ensure a constant frame rate. Results from real data of a mobile phone Augmented Reality system demonstrate the efficiency and robustness of the described approach. The system can track 6 planar targets on a mobile phone simultaneously at framerates of 23fps.