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.
Object tracking based on morphological elastic graph matching
01.01.2005
608119 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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