- Fast Bayesian people detection
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
Template-based methods have been shown to be effective at solving the problem of tracking specific objects, but their large number of free parameters can make them slow to apply and hard to optimise globally. In this work, we propose a template-based method for tracking people with fixed cameras, which automatically detects the number of people in a frame, is robust to occlusions, and can run at near-real-time frame rates. We demonstrate the effectiveness of the method by comparing it to a state-of-the-art background segmentation algorithm and show its important performance advantage.
- Proceedings title: Proceedings of the 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010)
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