NDLI: Integrated treatment of matching and measurement errors for robust model-based motion tracking

Content Provider	IEEE Xplore Digital Library
Author	Lowe, D.G.
Copyright Year	1990
Description	Author affiliation: Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada (Lowe, D.G.)
Abstract	A system is described for real-time motion tracking of 3-D objects, including those with variable internal parameters. Unlike most previous work on model-based motion tracking, this system provides for the integrated treatment of matching and measurement errors during motion tracking. These two sources of error have very different distributions and must be handled by separate computational mechanisms. These errors can be treated in an integrated way by using the computation of variance in predicted feature measurements to greatly decrease the amount of search required for subsequent matching. In return, the search process is used to eliminate the need to treat outliers during the analysis of measurement errors. The resulting system can robustly track models with many degrees of freedom while running on relatively inexpensive hardware. These same techniques can be used to speed verification during model-based recognition, and they point the way to merging of systems for recognition and motion tracking.<>
Starting Page	436
Ending Page	440
File Size	486510
Page Count	5
File Format	PDF
ISBN	0818620579
DOI	10.1109/ICCV.1990.139566
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-12-04
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement errors Robustness Tracking Real time systems Filtering Application software Computer vision Particle measurements Spatiotemporal phenomena Kalman filters
Content Type	Text
Resource Type	Article

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