The DOI matches its Crossref record.
Integrated person tracking using stereo, color, and pattern detection
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Neural network-based face detection
Rowley, H. A., Baluja, S., & Kanade, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.655647 · Cited by 3,554
W/sup 4/: real-time surveillance of people and their activities
Haritaoglu, I., Harwood, D., & Davis, L. S. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868683 · Cited by 2,523
Statistical Modeling of Complex Backgrounds for Foreground Object Detection
Li, L., Huang, W., Gu, I. Y.-H., & Tian, Q. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.836169 · Cited by 991
Human detection using depth information by Kinect
Xia, L., Chen, C.-C., & Aggarwal, J. K. (2011) · CVPR 2011 WORKSHOPS · doi:10.1109/cvprw.2011.5981811 · Cited by 503
A survey of active and passive indoor localisation systems
Deak, G., Curran, K., & Condell, J. (2012) · Computer Communications · doi:10.1016/j.comcom.2012.06.004 · Cited by 408
Metadata
- Authors
- Darrell, T., Gordon, G., Harville, M., & Woodfill, J.
- Venue
- Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231)
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-27
- Pages
- 601-608
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2136559873
- Cited by
- 258
- References
- 0
- FWCI
- 22.72
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Integrated person tracking using stereo, color, and pattern detection. https://app.cochat.ai/papers/10.1109/cvpr.1998.698667
- The paper
- Darrell, T., Gordon, G., Harville, M., & Woodfill, J. (2002). Integrated person tracking using stereo, color, and pattern detection. Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231). https://doi.org/10.1109/cvpr.1998.698667
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
