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11

ICPR
2002
IEEE

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Detecting Automobiles and People for Semantic Video Retrieval

13 years 9 months ago

Detecting Automobiles and People for Semantic Video Retrieval

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This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active contour over the video sequence. We use the sequential probability ratio test (SPRT) to classify the moving objects. Results are shown of a real video sequence from a busy city intersection.

Rene Visser, Nicu Sebe, Michael S. Lew

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ICPR 2002 | Real Video Sequence | Sequential Probability Ratio Test | Video Sequence |

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Added	14 Jul 2010
Updated	14 Jul 2010
Type	Conference
Year	2002
Where	ICPR
Authors	Rene Visser, Nicu Sebe, Michael S. Lew

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