The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A Two-Stage Template Approach to Person Detection in Thermal Imagery
Abstract
We present a two-stage template-based method to detect people in widely varying thermal imagery. The approach initially performs a fast screening procedure using a generalized template to locate potential person locations. Next an AdaBoosted ensemble classifier using automatically tuned filters is employed to test the hypothesized person locations. We demonstrate and evaluate the approach using a challenging dataset of thermal imagery
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Cites
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466
Detecting Pedestrians Using Patterns of Motion and Appearance
Viola, P., Jones, M. J., & Snow, D. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-6644-8 · Cited by 2,079
Moving target classification and tracking from real-time video
Lipton, A. J., Fujiyoshi, H., & Patil, R. S. (2002) · Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201) · doi:10.1109/acv.1998.732851 · Cited by 1,108
Detecting pedestrians using patterns of motion and appearance
Viola, Jones, & Snow (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238422 · Cited by 1,002
Pedestrian detection using wavelet templates
Oren, M., Papageorgiou, C., Sinha, P., Osuna, E., & Poggio, T. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609319 · Cited by 695
Pedestrian Detection from a Moving Vehicle
Gavrila, D. M. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-45053-x_3 · Cited by 436
Pedestrian Detection and Tracking With Night Vision
Xu, F., Liu, X., & Fujimura, K. (2005) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2004.838222 · Cited by 386
Probabilistic template based pedestrian detection in infrared videos
Nanda, H., & Davis, L. (2003) · Intelligent Vehicle Symposium, 2002. IEEE · doi:10.1109/ivs.2002.1187921 · Cited by 216
Pedestrian detection and tracking with night vision
Fengliang Xu, A., & Fujimura, K. (2003) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2002.1187922 · Cited by 101
Cited by
Multispectral pedestrian detection: Benchmark dataset and baseline
Hwang, S., Park, J., Kim, N., Choi, Y., & Kweon, I. S. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298706 · Cited by 1,249
Thermal cameras and applications: A survey
Gade, R., & Moeslund, T. B. (2014) · Machine Vision and Applications · doi:10.1007/s00138-013-0570-5 · Cited by 780
A survey of video datasets for human action and activity recognition
Chaquet, J. M., Carmona, E. J., & Fernández-Caballero, A. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.01.013 · Cited by 455
Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery
Gade, R., Jorgensen, A., & Moeslund, T. B. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.474 · Cited by 437
Guan, D., Cao, Y., Yang, J., Cao, Y., & Yang, M. Y. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.11.017 · Cited by 342
Metadata
- Authors
- Davis, J. W., & Keck, M. A.
- Venue
- 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1
- Publisher
- IEEE
- Published
- 2005-01
- Pages
- 364-369
- OpenAlex
- W2120339771
- Cited by
- 320
- References
- 9
- FWCI
- 4.43
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Davis, J. W., & Keck, M. A. (2005). A Two-Stage Template Approach to Person Detection in Thermal Imagery. 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1. https://doi.org/10.1109/acvmot.2005.14
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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.
