Multi-camera people localization and height estimation using multiple birth-and-death dynamics

Authors:
Ákos Utasi;Csaba Benedek
Affiliations:
Hungarian Academy of Sciences, Computer and Automation Research Institute, Budapest, Hungary;Hungarian Academy of Sciences, Computer and Automation Research Institute, Budapest, Hungary
Venue:
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Year:
2010

Citing 8
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Abstract

This paper presents a novel tool for localizing people in multicamera environment using calibrated cameras. Additionally, we will estimate the height of each person in the scene. Currently, the presented method uses the human body silhouettes as input, but it can be easily modified to process other widely used object (e.g. head, leg, body) detection results. In the first step we project all the pixels of the silhouettes to the ground plane and to other parallel planes with different height. Then we extract our features, which are based on the physical properties of the 2-D image formation. The final configuration results (location and height) are obtained by an iterative stochastic optimization process, namely the multiple birth-and-death dynamics framework.