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A particle filter (PF) has been recently proposed to detect and track colour objects in video. This study presents an adaptation of the PF to track people in surveillance video. Detection is based on automated background modelling rather than a manually generated object colour model. Furthermore, a labelling method is proposed to create tracks of objects through the scene, rather than unconnected...
Previously a particle filter has been proposed to detect colour objects in video [1]. In this work, the particle filter is adapted to track people in surveillance video. Detection is based on automated background modelling rather than a manually-generated object colour model. A labelling method is proposed that tracks objects through the scene rather than detecting them. A methodical comparison between...
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