28 February 2008 Performance analysis of visual tracking algorithms for motion-based user interfaces on mobile devices
Author Affiliations +
Abstract
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, Stefan Winkler, Karthik Rangaswamy, Karthik Rangaswamy, Jefry Tedjokusumo, Jefry Tedjokusumo, ZhiYing Zhou, 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); doi: 10.1117/12.766242; https://doi.org/10.1117/12.766242
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

A semi-automatic annotation tool for cooking video
Proceedings of SPIE (March 05 2013)
Fast roadway detection using car cabin video camera
Proceedings of SPIE (December 07 2015)
Behavior subtraction
Proceedings of SPIE (January 27 2008)
Computer-supported analysis of crash films
Proceedings of SPIE (May 29 1995)
A low-cost test-bed for real-time landmark tracking
Proceedings of SPIE (May 02 2007)

Back to Top