In this paper we investigate the problem of people re-identification in case of non overlapping and non calibrated cameras. We propose a novel method for signature generation that considers both color and spatial features along a video sequence and a distance measure to estimate the similarity between silhouettes. A graph based representation has been introduced to model different people, in which uniform regions represent nodes and contiguities among regions represent edges. Comparisons with a standard approach based on histogram similarity have been provided to evaluate the proposed methodology
A graph-based signature generation for people re-identification in a multi-camera surveillance system / D’Orazio, T.; Guaragnella, Cataldo. - (2012), pp. 414-417. (Intervento presentato al convegno International Conference on Computer Vision Theory and Applications, VISAPP 2012 tenutosi a Roma nel February 24-26, 2012) [10.5220/0003842104140417].
A graph-based signature generation for people re-identification in a multi-camera surveillance system
GUARAGNELLA, Cataldo
2012-01-01
Abstract
In this paper we investigate the problem of people re-identification in case of non overlapping and non calibrated cameras. We propose a novel method for signature generation that considers both color and spatial features along a video sequence and a distance measure to estimate the similarity between silhouettes. A graph based representation has been introduced to model different people, in which uniform regions represent nodes and contiguities among regions represent edges. Comparisons with a standard approach based on histogram similarity have been provided to evaluate the proposed methodologyI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
