Person Re-Identification

Duration	2008 - 2010
Sponsors	Siemens AG Österreich K-project ECV under the COMET program of the Austrian Research Promotion Agency (FFG).
Contact	Roth Peter M., Hirzer Martin
Keywords	Computer Vision Surveillance
Abstract	The goal of this project is to develop an interactive visual search method that finds a given pedestrian in a large archive of other camera views efficiently. A user-selected pedestrian image or sequence is used to obtain initial discriminative features and an initial ranked list of hypothetical matches. A discriminative pedestrian recognition model is learned in an on-line manner by user interaction assigning positive and negative labels to the initially retrieved results and on-line boosting for feature selection. This enables that the best discriminative features for the current query are selected.