Adaptive ensembles for face recognition in changing video surveillance environments

Recognizing faces corresponding to target individuals remains a challenging problem in video surveillance. Face recognition (FR) systems are exposed to videos captured under various operating conditions, and, since data distributions change over time, face captures diverge w.r.t. stored facial models. Although these models may be adapted when new reference… CONTINUE READING