The DOI matches its Crossref record.
W4S: A real-time system for detecting and tracking people in 2 1/2D
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
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
Self-citationArticulated body motion capture by annealed particle filtering
Deutscher, J., Blake, A., & Reid, I. (2002) · Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) · doi:10.1109/cvpr.2000.854758 · Cited by 868
Vision-based human motion analysis: An overview
Poppe, R. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.10.016 · Cited by 835
Tracking multiple humans in complex situations
Zhao, T., & Nevatia, R. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.73 · Cited by 490
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
Event detection and analysis from video streams
Medioni, G., Cohen, I., Bremond, F., Hongeng, S., & Nevatia, R. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.946990 · Cited by 405
Stereo- and neural network-based pedestrian detection
Zhao, L., & Thorpe, C. E. (2000) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/6979.892151 · Cited by 377
Motion segmentation and pose recognition with motion history gradients
Bradski, G. R., & Davis, J. W. (2002) · Machine Vision and Applications · doi:10.1007/s001380100064 · Cited by 320
A Probabilistic Exclusion Principle for Tracking Multiple Objects
MacCormick, J., & Blake, A. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008122218374 · Cited by 267
Duric, Z., Gray, W. D., Heishman, R., Li, F., Rosenfeld, A., Schoelles, M. J., Schunn, C., & Wechsler, H. (2002) · Proceedings of the IEEE · doi:10.1109/jproc.2002.801449 · Cited by 185
Beymer, D. (2002) · Proceedings Workshop on Human Motion · doi:10.1109/humo.2000.897382 · Cited by 96
Metadata
- Authors
- Haritaoglu, I., Harwood, D., & Davis, L. S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1998
- Pages
- 877-892
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1622986818
- Cited by
- 256
- References
- 0
- FWCI
- 19.39
- 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
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.