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Probabilistic template based pedestrian detection in infrared videos
Abstract
In this paper we present a real time pedestrian detection system that works on low quality infrared videos. We introduce probabilistic templates to capture the variations in human shape, especially for the case where contrast is low and body parts are missing. We present experimental results on infrared videos taken from a moving vehicle in various urban street scenarios to demonstrate the feasibility of the approach.
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Citations
Cited by
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
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
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
A Two-Stage Template Approach to Person Detection in Thermal Imagery
Davis, J. W., & Keck, M. A. (2005) · 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1 · doi:10.1109/acvmot.2005.14 · Cited by 320
Review of pedestrian detection techniques in automotive far‐infrared video
Hurney, P., Waldron, P., Morgan, F., Jones, E., & Glavin, M. (2015) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2014.0236 · Cited by 51
Metadata
- Authors
- Nanda, H., & Davis, L.
- Venue
- Intelligent Vehicle Symposium, 2002. IEEE
- Publisher
- IEEE
- Published
- 2003-08-27
- Volume
- 1
- Pages
- 15-20
- OpenAlex
- W2129317335
- Cited by
- 216
- References
- 0
- FWCI
- 13.57
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Nanda, H., & Davis, L. (2003). Probabilistic template based pedestrian detection in infrared videos. Intelligent Vehicle Symposium, 2002. IEEE. https://doi.org/10.1109/ivs.2002.1187921
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