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Content Provider | IEEE Xplore Digital Library |
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Author | Darrell, T. Gordon, G. Harville, M. Woodfill, J. |
Copyright Year | 1998 |
Description | Author affiliation: Interval Res. Corp., Palo Alto, CA, USA (Darrell, T.) |
Abstract | We present an approach to real-time person tracking in crowded and/or unknown environments using multi-modal integration. We combine stereo, color and face detection modules into a single robust system, and show an initial application in an interactive, face-responsive display. Dense, real-time stereo processing is used to isolate users from other objects and people in the background. Skin-hue classification identifies and tracks likely body parts within the silhouette of a user. Face pattern detection discriminates and localizes the face within the identified body parts. Faces and bodies of users are tracked over several temporal scales: short-term (user stay's within the field of view), medium-term (user exits/reenters within minutes), and long term (user returns after hours or days). Short-term tracking is performed using simple region position and size correspondences, while medium and long-term tracking are based on statistics of user appearance. We discuss the failure modes of each individual module, describe our integration method, and report results with the complete system in trials with thousands of users. |
Starting Page | 601 |
Ending Page | 608 |
File Size | 371653 |
Page Count | 8 |
File Format | |
ISBN | 0818684976 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.1998.698667 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1998-06-25 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Face detection Computer displays Stereo vision Computer vision Skin Milling machines Read only memory Electrical capacitance tomography Statistics Identity-based encryption |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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