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PAAPP
2007

Counting people using video cameras

8 years 9 months ago
Counting people using video cameras
The paper is devoted to the problem of estimating the number of people visible in a camera. It uses as features a portion of foreground pixels in each cell of a rectangular grid. Using the above features and data mining techniques allowed reaching accuracy up to 85% for exact match and up to 95% for plus-minus one estimate for an indoor surveillance environment. The architecture of a real-time people counting estimator is suggested. The results of analysis of experimental data are provided and discussed. Categories and Subject Descriptors I.2.6 [Artificial Intelligence]: Learning: I.5.2 [Pattern Recognition]: Design Methodology - classifier design and evaluation: I.5.5 [Pattern Recognition]: Implementation - special architectures. General Terms Algorithms, Experimentation. Keywords Multi-camera surveillance, video surveillance, counting people.
Damian Roqueiro, Valery A. Petrushin
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where PAAPP
Authors Damian Roqueiro, Valery A. Petrushin
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