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28 February 2008 Performance analysis of visual tracking algorithms for motion-based user interfaces on mobile devices
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Proceedings Volume 6821, Multimedia on Mobile Devices 2008; 68210K (2008)
Event: Electronic Imaging, 2008, San Jose, California, United States
Determining the self-motion of a camera is useful for many applications. A number of visual motion-tracking algorithms have been developed till date, each with their own advantages and restrictions. Some of them have also made their foray into the mobile world, powering augmented reality-based applications on phones with inbuilt cameras. In this paper, we compare the performances of three feature or landmark-guided motion tracking algorithms, namely marker-based tracking with MXRToolkit, face tracking based on CamShift, and MonoSLAM. We analyze and compare the complexity, accuracy, sensitivity, robustness and restrictions of each of the above methods. Our performance tests are conducted over two stages: The first stage of testing uses video sequences created with simulated camera movements along the six degrees of freedom in order to compare accuracy in tracking, while the second stage analyzes the robustness of the algorithms by testing for manipulative factors like image scaling and frame-skipping.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefan Winkler, Karthik Rangaswamy, Jefry Tedjokusumo, and ZhiYing Zhou "Performance analysis of visual tracking algorithms for motion-based user interfaces on mobile devices", Proc. SPIE 6821, Multimedia on Mobile Devices 2008, 68210K (28 February 2008);


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