View Invariant Appearance-Based Person Reidentification Using Fast Online Feature Selection and Score Level Fusion
Markus Eisenbach, Alexander Kolarow, Konrad Schenk, Klaus Debes, Horst–Michael Groß · 2012
Fast and robust person reidentification is an important task in multi-camera surveillance and automated access control. We present an efficient appearance-based algorithm, able to reidentify a person regardless of occlusions, distance to the camera, and changes in view and lighting. The use of fast online feature selection techniques enables us to perform reidentification in hyper-real-time for a multi-camera system, by taking only 10 seconds for evaluating 100 minutes of HD-video data. We demonstrate, that our approach surpasses current appearance-based state-of-the-art in reidentification quality and computational speed and sets a new reference in non-biometric reidentification.