Recognising behaviours of multiple people with hierarchical probabilistic model and statistical data association
Recognising behaviours of multiple people, especially high-level behaviours, is an important task in surveillance systems. When the reliable assignment of people to the set of observations is unavailable, this task becomes complicated. To solve this task, we present an approach, in which the hierarc...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
The British Machine Vision Association and Society for Pattern Recognition
2006
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| Online Access: | http://www.macs.hw.ac.uk/bmvc2006/papers/190.pdf http://hdl.handle.net/20.500.11937/15276 |