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17

ICPR
2002
IEEE

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Tracking People

14 years 5 months ago

Tracking People

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This paper describes a real-time computer vision system for tracking people in monocular video sequences. The system tracks people as they move through the camera's field of view, by a combination of background subtraction and the learning of appearance models. The appearance models allow objects to be tracked through occlusions using a probabilistic pixel reclassification algorithm. The system is evaluated on the three test sequences of the PETS 2002 dataset, for which tracking results and processing time requirements are presented.

Ng Kim Piau, Surendra Ranganath

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Appearance Models | Computer Vision | ICPR 2002 | Monocular Video Sequences | Probabilistic Pixel Reclassification |

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Added	09 Nov 2009
Updated	09 Nov 2009
Type	Conference
Year	2002
Where	ICPR
Authors	Ng Kim Piau, Surendra Ranganath

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