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Communication Dans Un Congrès Année : 2008

Incremental trajectory clustering in video sequences

Résumé

This article introduces new similarity measures between trajectories, in order to detect uncommon behaviors. These measures are used to find the most common trajectories in a sequence, using an implicit agglomerating method. They may be applied to trajectories of objects tracked in real time. Moreover, by combining one or more measures, it is possible to variate the impact of the temporal dimension — velocity along a trajectory. Our experiments show that the measures are able to properly identify rare trajectories in a video, as well as detect the most frequent ones.
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Dates et versions

hal-01531244 , version 1 (01-06-2017)

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  • HAL Id : hal-01531244 , version 1

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Ionel Pop, Mihaela Scuturici, Serge Miguet. Incremental trajectory clustering in video sequences. International Conference on Pattern Recognition (ICPR'08), Dec 2008, Tampa, Florida, USA, United States. ⟨hal-01531244⟩
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