Object tracking based on morphological elastic graph matching
This paper presents a novel method for real-time tracking of objects in video sequences. Tracking is performed using the so-called morphological elastic graph matching algorithm. When applied to faces, initialization of the tracking algorithm is performed by means of a novel face detection and facial feature extraction step. The obtained results show good performance in scenes with complex background. Comparison with an existing feature-based tracking method using measures based on ground truth data proves the superiority of the proposed method.