Visual Person Searches for Retail Loss Detection : Application and Evaluation

Abstract

We describe a novel computer-vision based system for facilitating the search for people across multiple non-overlapping cameras. The system has been applied in a retail environment most specifically for returns fraud prevention. The system detects and tracks people in multiple cameras and enables rapid cross-camera association of tracks. The system has been tested in a real store environment and we present results with a breakdown of error types.