Detecting queues at vending machines: a statistical layered approach
| Type of publication: | Conference paper |
| Citation: | Naturel_ICPR_2008 |
| Booktitle: | Proc. Int. Conf. on Pattern Recognition (ICPR) |
| Year: | 2008 |
| Month: | 12 |
| Location: | Tampa |
| Crossref: | naturel:rr08-04: |
| Abstract: | This paper presents a method for monitoring activities at a ticket vending machine in a video-surveillance context. Rather than relying on the output of a tracking module, which is prone to errors, the events are direclty recognized from image measurements. This especially does not require tracking. A statistical layered approach is proposed, where in the first layer, several sub-events are defined and detected using a discriminative approach. The second layer uses the result of the first and models the temporal relationships of the high-level event using a Hidden Markov Model (HMM). Results are assessed on 3h30 hours of real video footage coming from Turin metro station. |
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| Projects |
Idiap CARETAKER |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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